- compbio-allhands@cgl.ucsf.edu - RBVI Mailing Lists

[Compbio-allhands] Fwd: WANTED: Talented computational chemists
by Jacobson, Matt 26 Aug '16

26 Aug '16

- Matt Begin forwarded message: Subject: WANTED: Talented computational chemists Date: August 26, 2016 at 7:54:50 AM PDT To: "matt.jacobson(a)ucsf.edu<mailto:matt.jacobson@ucsf.edu>" <matt.jacobson(a)ucsf.edu<mailto:matt.jacobson@ucsf.edu>> Matt, The Modeling and Informatics group at Merck is seeking creative, self-motivated entry level PhD computational chemists with exceptional interpersonal and problem solving skills to join our scientific teams in Boston, MA or West Point, PA. If you have (or know of) any talented students who might be interested, could you please ask them to apply online here<https://merck.taleo.net/careersection/int_merckunitedstates_10880_en/jobdet…>? The job code is CHE004912. And thanks for already sending along Katrina. She’s great! - Kate M. Katharine Holloway, Ph.D. | Senior Principal Scientist | Structural Chemistry | Merck & Co WP14-1101 | 215-652-7425 (Office) |

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[Compbio-allhands] Fwd: job opportunity: computational epidemiology
by Jacobson, Matt 09 Aug '16

09 Aug '16

- Matt Begin forwarded message: From: Jaline Gerardin <jgerardin(a)idmod.org<mailto:jgerardin@idmod.org>> Subject: job opportunity: computational epidemiology Date: August 9, 2016 at 2:26:39 PM PDT To: "matt.jacobson(a)ucsf.edu<mailto:matt.jacobson@ucsf.edu>" <matt.jacobson(a)ucsf.edu<mailto:matt.jacobson@ucsf.edu>>, "rebecca.brown3(a)ucsf.edu<mailto:rebecca.brown3@ucsf.edu>" <rebecca.brown3(a)ucsf.edu<mailto:rebecca.brown3@ucsf.edu>> Hi Matt and Rebecca, Would you mind recirculating our job posting to the compbio/iPQB listservs? We’re looking for someone with a strong quantitative background and a couple years of experience with coding/scripting. Previous knowledge of malaria and disease modeling are absolutely not required. The pay is competitive for Research Scientist positions, and Seattle is a great place to live! Thanks, and hope this finds you well. Jaline jgerardin(a)idmod.org<mailto:jgerardin@idmod.org> ________________________________ TITLE: Research Scientist – Malaria LOCATION: Bellevue, WA, USA The Institute for Disease Modeling (IDM) team is composed of research scientists and software professionals who focus on creating powerful and innovative disease modeling and data analysis tools to help researchers and policy makers understand diseases, their causes, the way they spread, and the best types of interventions to use for the particular situation faced. IDM partners with selected universities, NGOs, government ministries, and other research and public health institutions focused on researching new ways to understand and combat diseases both locally and globally. We seek a full-time Research Scientist to work as part of the IDM malaria team and collaborate on the development, refinement, and utilization of sophisticated infectious disease models for epidemiological research and eradication-campaign planning. The IDM team architects advanced models of disease transmission, develops computational tools to inform global disease eradication policy, conducts innovative analysis of epidemiologically- and policy-relevant data (programmatic data, financial data, clinical trials data, and cluster surveys data), and identifies epidemiologically critical knowledge gaps. As part of our work, we routinely collaborate with groups at the World Health Organization, the Center for Disease Control, PATH, the Bill and Melinda Gates Foundation, ministries of health in the developing world, as well as universities and research institutes. As part of this group, the researcher will design and build new modules for the existing malaria disease model. The researcher will configure, calibrate, and exercise disease models to answer questions aimed at refining the malaria research agenda, improving understanding of disease dynamics, informing effective public health campaigns, and guiding rational development of new public-health interventions. The research, models, and results will be presented to key stakeholders, displayed at conferences, and published in academic journals. Joining our group provides unique opportunities to interact with global-health policymakers, to collaborate with world-class research laboratories and non-profit organizations, and to contribute to global and national disease-eradication strategies. Responsibilities: · Reviews scientific literature and determines which aspects of biology, demography, geography, and climate are relevant to the model. · Builds new modules for existing disease models; builds and develops new disease models. · Works closely with the modelers, programmers, and statisticians on the team to refine the models and use them to conduct sensitivity analyses, explore tradeoffs among possible interventions, and optimize eradication plans for time, cost, or other factors. · Finds sources for the necessary input data to the models and helps to organize the necessary data for input to the models. · Writes software code (in C/C++) to implement model features. · Collects, analyzes, and presents data on model results and performance. · Assists in the preparation of research articles and conference presentations communicating the project and its results to the scientific community. Key Qualifications and Required Skills: · Ph.D. in a quantitative field (e.g. Applied Mathematics, Statistics, Epidemiology, Quantitative Biology) · Numerical analysis, dynamical systems, stochastic processes, and biostatistics. · Read and write research articles in biology and applied mathematics. · Principles, techniques, and tools of computational epidemiology. · Work extended hours to meet a deadline; demonstrated ability to work productively as part of a small team. · At least 2 years’ experience in C/C++ software development. · Proficiency in at least one data-analysis or scripting language (e.g. MATLAB, python, R) · Multiple published articles in peer-reviewed scientific journals (to be submitted with application). · Knowledge of developing-world public health issues and the malaria disease system preferred.

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[Compbio-allhands] Fwd: Recruiting two postdocs for GROMACS improvements and development
by Jacobson, Matt 02 Aug '16

02 Aug '16

- Matt Begin forwarded message: From: Michael R Shirts <Michael.Shirts(a)Colorado.EDU<mailto:Michael.Shirts@Colorado.EDU>> Subject: Recruiting two postdocs for GROMACS improvements and development Date: August 2, 2016 at 1:22:52 AM PDT To: Michael R Shirts <Michael.Shirts(a)Colorado.EDU<mailto:Michael.Shirts@Colorado.EDU>> Cc: Peter Kasson <kasson(a)virginia.edu<mailto:kasson@virginia.edu>> Hello, all- Myself and Peter Kasson, in close cooperation with Erik Lindahl and Mark Abraham at KTH, have recently obtained funding for GROMACS development work on the US side. We now have two postdoc positions open, as detailed below, one based in Virginia and one in Colorado. We’d love it if you could pass on this email to current or former students of yours, or others you may know who may be interested. The mandate on the Virginia side involves API design and implementation and cloud- and dataflow-based parallelization, while on the Colorado side it involves statistical physics to test and diagnose simulation validity, improving the testing framework, and new Monte Carlo methods. Strong software engineering skills are a must, and we would particularly appreciate active members of the molecular simulation development community. As always, members of groups under-represented in the molecular simulation field are especially encouraged to apply. Please refer anyone you think appropriate or apply at the links below. Thanks! Michael Shirts ------------------------ The Shirts research group in the Department of Chemical and Biological Engineering is hiring a highly capable research associate to help develop the GROMACS molecular simulation package. GROMACS is an open-source project with a strong international development community as well as a 10,000+ user base. This position is part of a new NIH funded collaborative effort between the Shirts group and the Kasson group (at the University of Virginia) to improve the robustness, functionality, and usability of GROMACS, offering the candidate the opportunity to positively affect the work of thousands of researchers across the globe. Candidates will have the opportunity to learn state-of-the-art simulation methodology and work collaboratively with a global team of developers. This position requires a Ph.D. in Chemistry, Chemical Engineering, Physics, Computer Science or a related field. It requires very strong statistical mechanical, molecular simulation and theoretical skills, as well as significant software engineering experience and ability. Experience in C++ and Python is preferred, as well as experience with version control, code review systems, and team-oriented software development. Competitive candidates will have a track record of scientific success in graduate study with a strong publication record. Apply at https://cu.taleo.net/careersection/2/jobdetail.ftl?job=05979&lang=en&sns_id… ----------- The Kasson laboratory located within the Department of Molecular Physiology & Biological Physics at the University of Virginia seeks a talented postdoctoral scholar to help further the development of the GROMACS molecular simulation package. GROMACS is an open-source project with a strong international development community as well as a 10,000+ user base. The Kasson and Shirts laboratories have recently secured funding to contribute new development to GROMACS. We are seeking a postdoctoral scholar with strong software engineering skills to help build this widely-used scientific software package. This scholar will gain experience in and exposure to the broad base of GROMACS users and developers as well as skills in API design and parallel cloud-computing analytics. Skills not only in C++ and Python programming but also version control and code review systems are essential. A track record of contributions to open-source software is desired as well. Scientific background related to simulation science is desired; competitive candidates will have a track record of scientific success in graduate study with a strong publication record. For inquiry into the position, please refer to the posting number 0619061. Apply at https://jobs.virginia.edu/applicants/Central?quickFind=79490 ~~~~~~~~~~~~~~~~ Michael Shirts Associate Professor michael.shirts(a)colorado.edu<mailto:michael.shirts@colorado.edu> http://www.colorado.edu/lab/shirtsgroup/ Phone: (303) 735-7860 Office: JSCBB D317 Department of Chemical and Biological Engineering University of Colorado Boulder

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[Compbio-allhands] Fwd: Tenure-Track Assistant Professor in Biochemistry position
by Brian Shoichet 19 Jul '16

19 Jul '16

FYI. ---------- Forwarded message ---------- From: Spencer Anthony-Cahill <Spencer.Anthony-Cahill(a)wwu.edu> Date: Mon, Jul 18, 2016 at 6:15 PM Subject: Tenure-Track Assistant Professor in Biochemistry position To: "shoichet(a)cgl.ucsf.edu" <shoichet(a)cgl.ucsf.edu> Dear Professor Shoichet: I am reaching out to prominent structural biologists and biophysicists to bring to your attention a job posting we have for a tenure track assistant professorship in biochemistry. Western Washington University is a predominantly undergraduate institution. Our mission is to primarily serve our undergraduate population and engage them in meaningful research projects, which are commonly funded through federal grants and often result in quality peer-reviewed publications. Additionally, our Masters graduate program has grown over the past few years, which also bolsters our research infrastructure. We are keenly interested in attracting outstanding new faculty members who are motivated to work in this environment and excel in both teaching and research. We are particularly interested in candidates with interests in biochemistry and/or biophysics. If you know of any quality candidates that would be a good fit for our department, please encourage them to apply. Here is the link to our job posting: https://jobs.wwu.edu/JobPosting.aspx?JPID=7056 With best regards, Spencer. Spencer Anthony-Cahill, Ph.D. Professor of Chemistry, and Department Chair Email: Spencer.Anthony-Cahill(a)wwu.edu Tel: 360 650 3071 Morse Hall (CB) 270 516 High Street Bellingham, WA 98225-9150 -- Brian Shoichet, Professor http://bkslab.org/ <http://www.uoft.bkslab.org/> 415-514-4126 University of California, San Francisco Dept. of Pharmaceutical Chemistry By Courtesy: University of Toronto, Faculty of Pharmacy Ontario Institute for Cancer Research

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[Compbio-allhands] Fwd: Job ads
by Jacobson, Matt 07 Jul '16

07 Jul '16

- Matt Begin forwarded message: From: "Lexa, Katrina W" <katrina.lexa(a)merck.com<mailto:katrina.lexa@merck.com>> Subject: Job ads Date: July 7, 2016 at 7:22:44 AM PDT To: Matt Jacobson <Matt.Jacobson(a)ucsf.edu<mailto:Matt.Jacobson@ucsf.edu>> Hi Matt! A good friend of mine from Michigan works in the Chemistry department at Rollins College, just outside of Orlando. They’re hiring for a tenure-track assistant level professor position to start in August 2017, and they’re hoping for someone with a computational background: http://jobs.rollins.edu/cw/en-us/job/492307/assistant-professor-chemistry Also, Merck is hiring for two computational positions, one in Boston https://taleo.msd.com/careersection/merck_external_career_section/jobdetail… And one in West Point PA https://taleo.msd.com/careersection/merck_external_career_section/jobdetail… If you know anyone who might be interested, please pass the word along. Thanks! Hope everything in SF is going well, ------------------------------- Katrina Lexa Merck & Co., Inc. 126 East Lincoln Ave RY800-C364 Rahway, NJ 07065 phone: (732) 594-7058 office: RY800-D365 Notice: This e-mail message, together with any attachments, contains information of Merck & Co., Inc. (2000 Galloping Hill Road, Kenilworth, New Jersey, USA 07033), and/or its affiliates Direct contact information for affiliates is available at http://www.merck.com/contact/contacts.html) that may be confidential, proprietary copyrighted and/or legally privileged. It is intended solely for the use of the individual or entity named on this message. If you are not the intended recipient, and have received this message in error, please notify us immediately by reply e-mail and then delete it from your system.

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[Compbio-allhands] Fwd: Research Associate (postdoc) in Structural Bioinformatics of Genetic Variants @ Imperial London
by Andrej Sali 01 Jul '16

01 Jul '16

> Begin forwarded message: > > From: "Sternberg, Michael J E" <m.sternberg(a)imperial.ac.uk> > Subject: FW: Research Associate (postdoc) in Structural Bioinformatics of Genetic Variants @ Imperial London > Date: July 1, 2016 at 11:29:38 AM GMT+2 > To: Undisclosed recipients:; > > Please forward to suitable applicants > Thanks > > Mike > > > > Imperial College London – Structural Bioinformatics of Genetic Variants > > > Salary £33,860-£42,830 per annum > > South Kensington Campus > > Applications are invited for a Research Associate position to join Prof Mike Sternberg’s Structural Bioinformatics Group at the South Kensington Campus, Imperial College London. The post holder will work as a member of a small team developing the software for the PhyreRisk portal which will provide a web portal to deliver to the community a resource relating human genetic variation, disease, protein structure and biological pathways. > > The post holder will be responsible for developing the PhyreRisk database and provide support to users of Phyre Risk. You will collaborate closely with other members of the team modelling protein structure and you will be involved in disseminating PhyreRisk to the community. You will also be expected to apply the portal to specific problems including those at the Institute of Cancer Research in London. In addition you will also assist with the teaching and the administration of research groups. > > You must have a PhD (or equivalent) involving substantial development of software to study biological systems at the genetic or molecular level. You will have proven programming experience that results in the development of a substantive and robust algorithm, web-site or database tackling a problem in protein modelling or the analysis of genetic variants. Extensive knowledge of either modelling protein structure or the analysis of genetic variants together with extensive experience of developing either web site using JavaScript/HTML (or equivalent) or an SQL (or equivalent) database for use by the bioscience and biomedical communities are essential. You must also be able to demonstrate an understanding of the application of statistics in bioinformatics. > > You must be able to express scientific concepts (especially those in bioinformatics) precisely and clearly, both verbally and in writing, and have experience of developing high-level code to a professional standard of robustness and clarity. Ability to identify the technical and scientific steps that need to be accomplished to develop novel and complex bioinformatics software with minimal supervision is highly desirable. > > You must have excellent verbal and written communication skills, and be able to write clearly and succinctly for publication. You must be able to relate well with others, form positive relationships with a wide range of people and to work as part of a team, as well as independently and be able to prioritise in respond to deadlines. You must have a pro-active attitude in the planning of research work, and have a creative approach to problem-solving. > > This is a full time position, funded by the Wellcome Trust for up to three years. > > > Deadline: 30 July 2016 (midnight BST) > > > > For initial enquiries please contact Professor Michael Sternberg by <>email: m.sternberg(a)imperial.ac.uk <mailto:m.sternberg@imperial.ac.uk> > > > Full details on how to apply see: > > https://www4.ad.ic.ac.uk/OA_HTML/OA.jsp?page=/oracle/apps/irc/candidateSelf… <https://www4.ad.ic.ac.uk/OA_HTML/OA.jsp?page=/oracle/apps/irc/candidateSelf…>..

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[Compbio-allhands] Fwd: Hiring computational chemist at Denali Therapeutics
by Brian Shoichet 20 Jun '16

20 Jun '16

FYI Brian Shoichet, Professor Dept. of Pharmaceutical Chemistry, UCSF by courtesy: Faculty of Pharmacy & OICR, UofT sent from my phone. ---------- Forwarded message ---------- From: "JW Feng" <feng(a)dnli.com> Date: Jun 20, 2016 7:46 PM Subject: Hiring computational chemist at Denali Therapeutics To: <shoichet(a)cgl.ucsf.edu> Cc: Hi Brian, This is JW Feng at Denali Therapeutics, a neuroscience startup in South San Francisco. We met while I was a computational chemist at Genentech. I joined Denali a year ago to lead the data science group and we are looking for an outstanding computational chemist to join our growing team. As you may know, Denali raised a historic biotech series A funding at $217 million. We have a world class team of scientists to discover drugs to treat neurodegenerative diseases. It would be great if you can recommend students or postdocs that would be interested in the job. Online job description: http://www.denalitherapeutics.com/careers?gh_jid=235936 Best, JW ___________________ JW Feng, Ph.D. Denali Therapeutics Inc. 201 Gateway Blvd. South San Francisco, CA 94080 | (650) 270-0628

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[Compbio-allhands] Fwd: Postdoc opening at Stanford
by Jacobson, Matt 10 Jun '16

10 Jun '16

- Matt Begin forwarded message: From: Ron Dror <rondror(a)stanford.edu<mailto:rondror@stanford.edu>> Subject: Postdoc opening at Stanford Date: June 10, 2016 at 1:15:01 AM PDT Dear colleagues, I have an opening for a postdoc to lead one or more projects in my group at Stanford. If you can recommend a promising candidate, please let me know. I’d welcome applications from outstanding researchers with backgrounds in molecular simulation (either methods development or biological applications), molecular modeling, protein design, or related areas. A description of the position is below. Best, Ron Applications are invited for postdoctoral research positions in Prof. Ron Dror’s lab at Stanford University. Successful applicants will use a variety of computational techniques to address key scientific questions in biochemistry and to enable advances in drug discovery, particularly for G-protein-coupled receptors (GPCRs), which represent the largest class of drug targets. This work will be carried out in close collaboration with world-class experimentalists. Candidates must have an outstanding record of research and academic performance, strong communication skills, and an ability to work independently and collaborate effectively. Experience with molecular dynamics simulation, enhanced sampling methods, programming, protein design, or molecular modeling of membrane proteins is desirable, but candidates are not expected to have experience in all of these areas. Dr. Dror’s lab focuses on computational approaches to studying the spatial organization and dynamics of biomolecules and cells. Our work spans fields ranging from biophysics and computational chemistry to high-performance computing, image processing, and machine learning. We have access to substantial computational and experimental facilities and are based in an interdisciplinary biosciences building immediately adjacent to Stanford’s medical, science, and engineering schools. Stanford, one of the world’s top universities, is located on a beautiful campus in the San Francisco Bay Area. Stanford has long been a magnet for talent in computing and the biosciences, and is considered the birthplace and spiritual center of Silicon Valley, an unparalleled center of technological and scientific innovation. Stanford University is an equal opportunity employer. To apply, please send the following to drorlabopenings(a)gmail.com<mailto:drorlabopenings@gmail.com>: a CV, a cover letter explaining your interest in the position, contact information for three referees, and a document you wrote that has not been edited by anyone else (for example, a report, an early draft of a manuscript, or an email to a colleague about a scientific topic). -- Ron Dror Associate Professor of Computer Science and, by courtesy, Molecular and Cellular Physiology and Structural Biology Stanford University http://drorlab.stanford.edu/

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[Compbio-allhands] Fwd: Postdoc opening at Stanford
by Andrej Sali 10 Jun '16

10 Jun '16

> Begin forwarded message: > > From: Ron Dror <rondror(a)stanford.edu> > Subject: Postdoc opening at Stanford > Date: June 10, 2016 at 1:17:03 AM PDT > To: "Lennart.Nilsson(a)ki.se" <Lennart.Nilsson(a)ki.se>, "bojan.zagrovic(a)univie.ac.at" <bojan.zagrovic(a)univie.ac.at>, "hgrubmu(a)gwdg.de" <hgrubmu(a)gwdg.de>, "c.de.graaf(a)vu.nl" <c.de.graaf(a)vu.nl>, "gerhard.hummer(a)biophys.mpg.de" <gerhard.hummer(a)biophys.mpg.de>, "schlick(a)nyu.edu" <schlick(a)nyu.edu>, "p.carloni(a)grs-sim.de" <p.carloni(a)grs-sim.de>, "ursula.roethlisberger(a)epfl.ch" <ursula.roethlisberger(a)epfl.ch>, "Michael.Grabe(a)ucsf.edu" <Michael.Grabe(a)ucsf.edu>, "sali(a)salilab.org" <sali(a)salilab.org>, "peter(a)kolblab.org" <peter(a)kolblab.org>, Koby Levy <Koby.Levy(a)weizmann.ac.il> > Cc: Ron Dror <ron.dror(a)stanford.edu> > > Dear colleagues, > > I have an opening for a postdoc to lead one or more projects in my group at Stanford. If you can recommend a promising candidate, please let me know. I’d welcome applications from outstanding researchers with backgrounds in molecular simulation (either methods development or biological applications), molecular modeling, protein design, or related areas. A description of the position is below. > > Best, > Ron > > > Applications are invited for postdoctoral research positions in Prof. Ron Dror’s lab at Stanford University. Successful applicants will use a variety of computational techniques to address key scientific questions in biochemistry and to enable advances in drug discovery, particularly for G-protein-coupled receptors (GPCRs), which represent the largest class of drug targets. This work will be carried out in close collaboration with world-class experimentalists. > > Candidates must have an outstanding record of research and academic performance, strong communication skills, and an ability to work independently and collaborate effectively. Experience with molecular dynamics simulation, enhanced sampling methods, programming, protein design, or molecular modeling of membrane proteins is desirable, but candidates are not expected to have experience in all of these areas. > > Dr. Dror’s lab focuses on computational approaches to studying the spatial organization and dynamics of biomolecules and cells. Our work spans fields ranging from biophysics and computational chemistry to high-performance computing, image processing, and machine learning. We have access to substantial computational and experimental facilities and are based in an interdisciplinary biosciences building immediately adjacent to Stanford’s medical, science, and engineering schools. > > Stanford, one of the world’s top universities, is located on a beautiful campus in the San Francisco Bay Area. Stanford has long been a magnet for talent in computing and the biosciences, and is considered the birthplace and spiritual center of Silicon Valley, an unparalleled center of technological and scientific innovation. > > Stanford University is an equal opportunity employer. > > To apply, please send the following to drorlabopenings(a)gmail.com <mailto:drorlabopenings@gmail.com>: a CV, a cover letter explaining your interest in the position, contact information for three referees, and a document you wrote that has not been edited by anyone else (for example, a report, an early draft of a manuscript, or an email to a colleague about a scientific topic). > > -- > > Ron Dror > Associate Professor of Computer Science and, by courtesy, Molecular and Cellular Physiology and Structural Biology > Stanford University > http://drorlab.stanford.edu/ <http://drorlab.stanford.edu/>

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[Compbio-allhands] Fwd: An announcement from COMP Together
by Magdalena Korczynska 02 Jun '16

02 Jun '16

June COMP Together. > Begin forwarded message: > > From: comp_together(a)acscomp.org > Subject: An announcement from COMP Together > Date: June 2, 2016 at 8:43:50 AM PDT > To: Magdalena Korczynska <mkucsf(a)gmail.com> > Reply-To: BinQing Wei <wei.binqing(a)gmail.com> > > The COMP Together champions in your area would like to announce the following event: > > Speaker: Max Kuhn, Pfizer > Ignacio Aliagas, Genentech > Title: Two talks on machine learning and applications in drug discovery > Date: 2016-06-28 > Time: 6:00 PM > Event ID: 34 > Sponsor: Gilead > > Location > Gilead > 333 Lakeside Drive > > Foster City CA 94404 > > Description and Notes > 6-7 pm networking over pizza & drinks > > 7-7:45pm 1st talk, Max Kuhn, Pfizer > > Title: Under the Hood of Cubist > Abstract: Cubist model rules are a relatively unknown machine learning model that has been extensively utilized in QSAR. The model is related to work published by Ross Quinlan in the early 90’s but had remained closed source until 2010. This talk will describe the model and its mechanics and an illustrative example will be shown to demonstrate the result. > > 7:45-8:15pm 2nd talk, Ignacio Aliagas, Genentech > > Title: The Importance of Being Earnest: Assessing Risk in Model Predictions > Abstract: QSAR models for the prediction of properties and DMPK end points can play a very important role to guide synthesis and advance compounds in the drug discovery paradigm. For prediction models to be used efficiently and with ease, integration with other modeling tools and software can facilitate their use. At the same time, it is critical to provide validation tools to quickly inform on the models’ domain of applicability within a given therapeutic project or chemical series. We describe a probabilistic approach to model prediction and how various QSAR models and validation tools are being delivered to drug discovery scientists at Genentech. > > 8:30pm End > > > If you would like to attend this COMP Together event, please visit the COMP website and register using the > http://app.acscomp.org/COMP_Together/meeting_signup.php?event_id=34. > > If you have any questions about this event, please contact BinQing Wei atwei.binqing(a)gmail.com. > > If you would like to update your COMP Together registration or unsubscribe, please visit http://app.acscomp.org/COMP_Together/reg_update/update_login.php

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