Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- National Aeronautics and Space Administration (NASA)
- Oak Ridge National Laboratory
- Rutgers University
- Northeastern University
- University of North Carolina at Chapel Hill
- Brookhaven National Laboratory
- Lawrence Berkeley National Laboratory
- Pennsylvania State University
- Texas A&M University
- University of Minnesota
- University of Washington
- Virginia Tech
- Cornell University
- Duke University
- SUNY University at Buffalo
- Stanford University
- The Ohio State University
- The University of Arizona
- University of Florida
- University of Miami
- University of North Texas at Dallas
- Zintellect
- Boston University
- Drexel University
- Harvard University
- Indiana University
- Massachusetts Institute of Technology
- Montana State University
- St Jude Children's Research Hospital
- Stony Brook University
- University of California, Los Angeles
- University of California, Merced
- University of Chicago
- University of Illinois at Chicago
- University of Kentucky
- University of North Carolina at Charlotte
- University of Utah
- Villanova University
- Yale University
- 30 more »
- « less
-
Field
-
Army Institute of Research (WRAIR) DoD's premier research enterprise for infectious diseases, brain health, and performance optimization, is offering this Postdoctoral research opportunity to conduct
-
, and optimization techniques, to enhance robotic autonomy and mission performance. Develop and validate digital twin environments for simulation, testing, and evaluation of autonomous robotic systems and
-
, including active learning or Bayesian optimization. Experience with imaging, time-series or high-dimensional data. Exposure to crystallography or structural biology. Experience with multimodal datasets and
-
for radioactive s-, p-, and f-block metal ions. Independently execute and troubleshoot complex, multi-step organic syntheses on the multi-gram scale, including reaction optimization, scale-up, purification, and
-
for automated interpretation of crystallography data for optimal ligand placement. Build and curate training datasets linking electron density maps and structural models. Design and evaluate AI models for 3D
-
of Energy (DOE) experimental facilities. This role involves research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high
-
structural findings with biochemical and genetic data to define mechanism of action. Develop and optimize workflows for sample preparation, grid screening, and high-throughput image acquisition. Collaborate
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
(such as JWST, ALMA, Europa Clipper) and to optimize the science returns of upcoming planetary exploration missions, a comprehensive molecular-level understanding of ice chemistry, spectroscopy, and
-
, and for alloy development and compositional optimization of welding and AM consumables and structural alloys; prepares research results for technical reports to sponsors and for scholarly publications
-
, genomics, wearable data, and unstructured clinical text). Design, implement, validate, and optimize computational methods and analytical pipelines to address clinically relevant research questions. Develop