Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Argonne
- Oak Ridge National Laboratory
- Stanford University
- University of North Carolina at Chapel Hill
- University of Washington
- Nature Careers
- University of Houston Central Campus
- Texas A&M University
- The University of Arizona
- University of Maryland, Baltimore
- Baylor College of Medicine
- New York University
- Northeastern University
- University of Minnesota
- Virginia Tech
- Brookhaven Lab
- Indiana University
- National Aeronautics and Space Administration (NASA)
- Stony Brook University
- Texas A&M AgriLife
- The Ohio State University
- The University of North Carolina at Chapel Hill
- University of Central Florida
- University of Florida
- University of Houston
- University of Oklahoma
- University of Virginia
- Yale University
- Broad Institute of MIT and Harvard
- Brookhaven National Laboratory
- California Institute of Technology
- Carnegie Mellon University
- Cornell University
- Dartmouth College
- DePaul University
- Eastern Kentucky University
- Embry-Riddle Aeronautical University
- Fred Hutchinson Cancer Center
- Georgia Institute of Technology
- Harvard University
- Los Alamos National Laboratory
- Loyola University
- Michigan Technological University
- Missouri University of Science and Technology
- Northwestern University
- Ohio University
- Okinawa Institute of Science and Technology Graduate University
- Pennsylvania State University
- Princeton University
- SUNY University at Buffalo
- Texas A&M AgriLife Extension
- University of California Berkeley
- University of California, Merced
- University of Delaware
- University of Illinois at Chicago
- University of Massachusetts
- University of Massachusetts Medical School
- University of North Texas at Dallas
- University of South Carolina
- University of Southern California
- University of Texas at Arlington
- University of Texas at Dallas
- Zintellect
- 53 more »
- « less
-
Field
-
training algorithms and AI architecture. Image reconstruction, segmentation, and classification. High performance computing for spatiotemporal data. Major Duties/Responsibilities: Develop foundation AI
-
associate will conduct theoretical studies and numerical simulations, develop new methods and algorithms, and mentoring junior group members. Physical Demands and Working Conditions Physical Activities
-
candidate who will support the development, implementation, and evaluation of methane and NH3 modeling and enhancement from livestock animals and manure housing and management in small farms or watersheds
-
National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 6 days ago
computationally intensive, relying on iterative time-marching algorithms to reconstruct heating environments. This limits their use in more advanced computational analyses, such as uncertainty quantification
-
Astronomical Software Development. Excited by the prospect of leading and participating in early science with Rubin Observatory and the Legacy Survey of Space and Time (LSST; http://lsst.org ). Enthusiastic
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact cross-functionally: work with people across the team to find creative solutions
-
. university groups within CMS. Our instrumentation expertise spans detector operations and upgrades (Level‑1 muon trigger, CSC muon system), tracking algorithm R&D, and future HL‑LHC trigger algorithm
-
, engineers, and researchers in an effort to develop medical automation research solutions. You will support various engineering and computer science aspects of research projects focused on optimizing combat
-
; identification of novel phases of matter through machine learning; and the development of new algorithms for the simulation of quantum matter. Applications from strong candidates with complementary interests
-
postdoctoral scholars, working on the development of a core, scalable methodology. This methodology leverages existing spatial data on landscapes, fire behavior, and fuel treatments to evaluate real-world