Sort by
Refine Your Search
-
Employer
- Oak Ridge National Laboratory
- Argonne
- Cornell University
- The University of Arizona
- Lehigh University
- Pennsylvania State University
- Stanford University
- University of Minnesota
- University of Texas at Dallas
- University of Washington
- Yale University
- Claremont McKenna College
- Duke University
- Lawrence Berkeley National Laboratory
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Purdue University
- St Jude Children's Research Hospital
- Stony Brook University
- University of Colorado
- University of New Hampshire
- University of North Carolina at Chapel Hill
- University of South Carolina
- Virginia Tech
- 14 more »
- « less
-
Field
-
Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
-
linear programming, mixed-integer programming, nonlinear optimization, stochastic optimization, robust optimization, or multi-objective optimization. Experience integrating machine learning or data-driven
-
introduced by our group while developing new ones, and we couple this work with innovative strategies to define the molecular basis for their modes of action in bacterial cells. In parallel, we investigate how
-
. Integrate the feed chemistry data being developed in a parallel project. Travel to India to help implement the updated model. This would be as needed and no more than two times per year. Conduct a comparative
-
their own research program in collaboration with, and in parallel to, Prof. Zanazzi. Penn State hosts a vibrant community of scientists working on many aspects of exoplanetary astrophysics, including
-
parallel programming. ● Experience with writing scientific articles. ● Experience with writing scientific machine learning. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted
-
programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or large-scale data centers