Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Oak Ridge National Laboratory
- Stony Brook University
- National Aeronautics and Space Administration (NASA)
- Nature Careers
- Stanford University
- University of Central Florida
- Argonne
- Chalmers University of Technology
- George Washington University
- Karlstad University
- Luxembourg Institute of Science and Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- RIKEN
- University of Maryland, Baltimore
- University of Oslo
- ;
- Argonne National Laboratory
- CNRS
- ERATOSTHENES CENTRE OF EXCELLENCE
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fred Hutchinson Cancer Center
- Heriot-Watt University;
- Indiana University
- Institute of Hematology and Center for Hemato-Oncology Research
- Luxembourg Institute of Health
- Pennsylvania State University
- Rutgers University
- Singapore-MIT Alliance for Research and Technology
- THE UNIVERSITY OF HONG KONG
- Technical University of Denmark
- Technical University of Munich
- Texas A&M AgriLife
- University of Copenhagen
- University of Florida
- University of Luxembourg
- University of North Carolina at Chapel Hill
- University of Texas at Arlington
- University of Utah
- 28 more »
- « less
-
Field
-
National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 5 hours ago
-based satellite remote sensing algorithms have been extensively used for analyzing satellite data and validated against multiple data sources. These retrieval systems can provide realistic training
-
algorithms, to applications in astronomy and medicine. Multiple positions are open in the context of the £4M research Fellowship TomoGrav awarded by the Royal Society to Dr Kazunori Akiyama (moving from MIT
-
) Research Experience: Relevant research experience in related problem domains, or research experience in scheduling, routing, and multi-agent pathfinding (MAPF) algorithms - Experience across multiple areas
-
into optimization frameworks. Study the theoretical foundations of randomized algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities
-
unsupervised techniques, time-series modeling, and clustering algorithms. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple
-
computational algorithm(s), perform data analysis, collaborate with biologists and physicians. He or she will lead multiple projects, work in a multidisciplinary environment and present/publish the results in
-
associate will work both independently and collaboratively to develop and apply novel deep learning algorithms and/or computational chemistry methods for small-molecule drug discovery targeting RNA
-
to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
-
Application Deadline 6 Apr 2026 - 10:51 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme
-
algorithms for mining molecular multi-omics and medical data to improve multiple tasks of precision medicine and discover new precision therapeutics. The successful candidates will work closely with our