343 distributed-algorithm-"Newcastle-University" Postdoctoral positions in United States
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Washington
- Oak Ridge National Laboratory
- Argonne
- Duke University
- Stony Brook University
- Northeastern University
- Stanford University
- University of Minnesota
- University of North Carolina at Chapel Hill
- Washington University in St. Louis
- Cornell University
- Texas A&M University
- University of Maine
- Carnegie Mellon University
- Nature Careers
- Baylor College of Medicine
- Indiana University
- National Aeronautics and Space Administration (NASA)
- New York University
- Princeton University
- The University of Arizona
- University of California
- Virginia Tech
- Pennsylvania State University
- SUNY Polytechnic Institute
- Texas A&M AgriLife
- University of Maryland, Baltimore
- Lawrence Berkeley National Laboratory
- Rutgers University
- The University of North Carolina at Chapel Hill
- University of California Berkeley
- University of Central Florida
- University of Florida
- University of Houston Central Campus
- University of Oklahoma
- Broad Institute of MIT and Harvard
- Brookhaven Lab
- Brookhaven National Laboratory
- DePaul University
- George Washington University
- Hanyang University
- University of California, Merced
- University of Houston
- University of North Texas at Dallas
- Yale University
- Zintellect
- Boston University
- California Institute of Technology
- Caltech
- Dartmouth College
- Eastern Kentucky University
- Georgia Institute of Technology
- Harvard University
- Loyola University
- Massachusetts Institute of Technology
- Michigan Technological University
- Missouri University of Science and Technology
- Northwestern University
- Purdue University
- Rochester Institute of Technology
- SUNY University at Buffalo
- Saint Louis University
- Shanghai Jiao Tong University
- The Institute for Data
- The Ohio State University
- The University of Memphis
- The University of South Dakota
- The University of Texas at Dallas
- University of Alaska
- University of Arizona
- University of Arkansas
- University of California Merced
- University of California, Berkeley
- University of Delaware
- University of Illinois at Chicago
- University of Kentucky
- University of Maryland
- University of Massachusetts
- University of Massachusetts Medical School
- University of Miami
- University of Nevada, Reno
- University of New Mexico
- University of North Carolina at Charlotte
- University of Oregon
- University of South Carolina
- University of St. Thomas
- University of Texas at Arlington
- University of Texas at Dallas
- University of Utah
- University of Virginia
- Washington State University
- 81 more »
- « less
-
Field
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 8 hours ago
round-trip light times make centralized coordination of swarms difficult, so distributed coordination becomes more critical. Study of these architectures through simulation (e.g. ns-3) and hardware test
-
advanced many-body methods, high-performance computing, and machine learning approaches. The successful candidate will play a leading role in developing computational methods and high-performance algorithms
-
High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time-series modeling, and clustering algorithms
-
, high-performance computing (HPC), and computational sciences. Major Duties/Responsibilities: Participate in: (1) design and implementation of scalable DL algorithms for atomistic materials modeling
-
place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a
-
Integration: Integrate multi-modal data (e.g., single-cell RNA sequencing, spatial omics) to uncover new insights into cancer biology and therapy. Algorithm Development: Create and refine algorithms
-
computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
-
Center’s mission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells
-
for transmission or distribution grids, synchronous generators, large loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component
-
optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise