Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Stanford University
- Oak Ridge National Laboratory
- University of North Carolina at Chapel Hill
- Brookhaven Lab
- University of Washington
- Texas A&M University
- Cornell University
- University of Maryland, Baltimore
- Virginia Tech
- Baylor College of Medicine
- Nature Careers
- New York University
- Pennsylvania State University
- The University of Arizona
- Yale University
- Harvard University
- Indiana University
- Los Alamos National Laboratory
- Loyola University
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- Northeastern University
- Stony Brook University
- The Ohio State University
- The University of Iowa
- University of California Irvine
- University of Florida
- University of Houston Central Campus
- University of Minnesota
- University of South Carolina
- University of Texas at Arlington
- University of Virginia
- 23 more »
- « less
-
Field
-
vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
-
excited about building and deploying systems. Work with the PI in mentoring PhD and Master students. Be self-motivated and driven, creative, team-oriented, and able to work efficiently in a
-
PhD level with zero to five years of employment experience. Expertise in testing, characterizing, and measuring MEMS devices and designing feedback loops and control algorithms for the precise operation
-
interaction physics, precision calculations of (g-2) and PDF determinations, and the development of new algorithms, among others. Position Description The successful candidate will be expected to conduct
-
Laboratory seeks a postdoctoral appointee to join a multidisciplinary team developing complex systems models, including agent-based models, and new algorithms and tools for machine learning and optimization
-
, pipelines, and datasets in version-controlled environments. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications PhD in
-
Education and Experience: PhD in Physics, Optics, or Photonics Required Knowledge, Skills, and Abilities: Strong publication skills Excellent scientific writing ability and good communication skills Knowledge
-
undergraduate students during summer months. Apply existing remote sensing based algorithms, such as 3T, to estimate latent heat fluxes from thermal imagery and soil water balance. Develop and test upscaling
-
undergraduate students during summer months. Apply existing remote sensing based algorithms, such as 3T, to estimate latent heat fluxes from thermal imagery and soil water balance. Develop and test upscaling
-
data, metabolomics and/or proteomics. Develops robust pipelines for data annotation, analysis, and quality control. Creates analytical algorithms and tools to address scientific questions with big data