Postdoctoral Scholar, Lawrence Berkeley National Laboratory

  • Full Time
  • Anywhere

Berkeley, California, United States

Postdoctoral Scholar – 88805
Organization: MB-Molecular Biophys & Integ Bio

Berkeley Lab’s Molecular Biophysics & Integrated Bioimaging Division (https://biosciences.lbl.gov/divisions/mbib/) has an opening for a Postdoctoral Scholar. In this role, you will conduct computational research in the area of the analysis of time-resolved imaging data. You will apply machine learning tools in combination with classic mathematical approaches to process time-resolved biological imaging data obtained using techniques such as electron microscopy, hyperspectral imaging, or related modalities. This position will be part of a multi-disciplinary team composed of (bio)physicists, applied mathematicians and computer scientists.

What You Will Do:
• Develop theory and algorithms required for the analyses of time-resolved imaging data
• Apply developed theory for the analyses of experimental data on selected model systems
• Deploy computational strategies in a high-performance computing environment
• Implement, benchmark and document developed numerical techniques
• Keep accurate and detailed notes
• Summarize results in reports and papers submitted for publication
• Present results at scientific meetings

The posting shall remain open until the position is filled.

Notes:
• This is a full time, 1 year postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=173702 and follow the on-line instructions to complete the application process.

Berkeley Lab (LBNL, http://www.lbl.gov/) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science.

Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab- Click Here (https://hr.lbl.gov/).

Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4 (https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html). Click here (https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) to view the poster: "Equal Employment Opportunity is the Law".

What is Required:
• PhD in Biophysics, Physics, Mathematics, Chemistry or a related field
• Extensive experience with algorithm development and numerical methods for the analyses of experimental data
• Programming experience in Python/C++
• Excellent interpersonal skills for working in a diverse team environment
• Strong written and verbal communication skills to present findings at group meetings and conferences and publish results
• Strong organizational and record keeping skills
• Ability to interact with a variety of technical and scientific personnel including Research Associates, Scientists and Software Engineers

Additional Desired Qualifications:
• Basic skills and understanding of linear algebra and optimization techniques
• Basic experience in parallel programming such as MPI, OpenMP, and CUDA
• Familiarity with software versioning systems
• Experience in data analysis in the life sciences

Source: Python.org Jobs Feed

To apply, please visit the following URL:https://python.org/jobs/4294/→

About myzigyasa

I am a developer, learner and a traveller. I like to do challenging tasks on different technologies and programming languages. contact me if you have any projects to accomplish.