Begin forwarded message:

From: Sara CAPPONI <Sara.CAPPONI@ibm.com> Subject: Searching for Postdoc Candidate in AI/ML and mathematical methods for Biology @ IBM Almaden Date: February 12, 2022 at 4:24:23 PM PST To: "sali@salilab.org" <sali@salilab.org>

Dear Andrej,

I hope that this email finds you well!

I am reaching out because I was awarded as IBM PI of the NSF Center for Cellular Construction grant and I am looking for a postdoctoral researcher willing to work using advanced AI/ML methods for Biology. I am wondering if you are aware of someone looking for such position, e. g. a student in the final year of Ph.D. training or a postdoc at the end of the contract. If so, maybe you can point this person to me (sara.capponi@ibm.com <mailto:sara.capponi@ibm.com>).

Also, I would appreciate if you could forward this email to anyone who might be interested in applying to this position. The postdoc ad is at the bottom of the email.

Thanks for your time!

Best, Sara

---------------

Postdoctoral Research Scientist in Cellular Engineering at IBM Almaden Research Center

The Cellular Engineering laboratory at IBM Almaden Research Center is looking for a postdoctoral research scientist. The position is slated to begin immediately. The candidate is expected to apply advanced AI/ML methods in cellular engineering and synthetic biology to understand biological systems and cellular dynamics.

The Cellular Engineering laboratory integrates multidisciplinary methods to understand the basic principles underlying cell functions in order to modify and build cells with designed activity. For this purpose, we have access to several IBM supercomputers, which are among the fastest in the world. The laboratory is part of the NSF Center for Cellular Construction in partnership with UC San Francisco, UC Berkeley, Stanford University, SF State University, and the SF Exploratorium. The overall goal of the Center is to develop an engineering discipline to design cells. The candidate will work in close collaboration with world known scientists.

Our focus is to leverage AI/ML methods for harnessing the power of cells and develop powerful predictive models of cellular structure and function. The candidate is expected to integrate and develop novel AI/ML algorithms to understand the basic principles underlying cell functions in order to modify and build cells with designed activity. The ideal candidate should have strong background in computational biology and modeling, biophysics, AI/ML methods for biological system analysis and cellular dynamics. Relevant areas of expertise might include direct application of machine learning methods to cellular systems.

Interested candidates should contact Sara Capponi, PhD, (sara.capponi@ibm.com <mailto:sara.capponi@ibm.com>) with a brief statement of research interest/cover letter, a CV, and contact information of 2-3 references. Students in their final year of Ph.D. training are encouraged to apply.

Qualifications:

• PhD in Computational Biology, Computational Biophysics, Physics, Bioengineering or related field. • Experience in chemistry, physics, engineering, computer science, computational biology, or related fields. • Experience in computational modeling methods. • Experience in machine learning, deep learning packages. • Proven experience with python programming. • Excellent English (oral and written) and good communication skills are necessary.