Posted 2mo ago

Post Doctoral Fellow - Das

@ Saint Louis University
Saint Louis, Missouri, United States
OnsiteFull Time
Responsibilities:lead projects, perform simulations, analyze data
Requirements Summary:Doctoral degree in physical sciences, biochemistry, or computer science required at start (ABD accepted); Linux, Python, HPC, and computational chemistry experience preferred.
Technical Tools Mentioned:Linux, Python, High-Performance Computing, Computational Chemistry
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Job Description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.

Premila’s research group (https://sites.google.com/view/premila-research-group) at Saint Louis University invites applicants for a postdoctoral research associate position in computational biophysics. The successful candidate will lead project(s) focused on biomolecular dynamics within computational models of cell-like crowded environments. Potential themes of research projects include enzyme dynamics, protein-misfolding and aggregation, and hemoglobin diseases. A doctoral degree in physical sciences, biochemistry, or computer science is required at the start of the position (we accept ABD applicants). Applicants with prior experiences with Linux command line, Python programming, high-performance computing, and computational chemistry will be preferred. This position is a full-time, benefits-eligible position. Interested applicants should submit a cover letter and CV, one of their publications (or preprints) that they are most proud of, as well as arrange for two reference letters

Function

Research Support

Scheduled Weekly Hours:

40

Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.