Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Oak Ridge National Laboratory
- Argonne
- Princeton University
- Harvard University
- Nature Careers
- Stanford University
- Villanova University
- University of Colorado
- University of Texas at Arlington
- University of Washington
- Washington University in St. Louis
- Auburn University
- Brookhaven National Laboratory
- Columbia University
- Cornell University
- National Renewable Energy Laboratory NREL
- Northeastern University
- Sandia National Laboratories
- Texas A&M University
- The University of Arizona
- The University of Chicago
- University of California
- University of Central Florida
- University of Dayton
- University of Miami
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Texas at Austin
- University of Utah
- Wayne State University
- 20 more »
- « less
-
Field
-
, and advanced sequencing technologies to generate large-scale datasets. In parallel, you will develop and apply computational pipelines that integrate sequence analysis, structural modeling, and
-
.2023.01.012 (link is external) Drug Discovery: New Therapeutic Mechanisms In parallel, we use structural biology as a foundation for discovering new therapeutic mechanisms. Our work focuses on using chemically
-
Post Doc Res Assoc Job Summary The Ho lab at the University of Utah is launching an ambitious program to systematically discover, map, and therapeutically harness mitochondrial microproteins
-
Requisition Id 16217 Overview: The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak
-
foundations of economic decision-making, using behavioral experiments and computational modeling. The program is especially interested in research that explores parallels between the cognitive mechanisms
-
in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
-
workloads. Conduct research on language front‑end abstractions, mixed‑precision modeling, heterogeneous parallelism, and MLIR-level transformations. HPC System Co‑Design: Work with domain scientists and
-
adapting large-scale codes developed for parallel computing. Record of excellence in professional achievement, as evidenced by a strong publication record. Demonstrated ability to carry out independent
-
parallel screening platform to discover orthogonal protein binders. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing
-
computing software libraries (e.g., Trilinos, MFEM, PETSc, MOOSE). Experience with shared and distributed memory parallel programming models such as OpenMP and MPI. Experience with one more GPU or performance