Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- Carnegie Mellon University
- Argonne
- Aarhus University
- Stanford University
- Texas A&M University
- University of North Carolina at Chapel Hill
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Denmark
- Princeton University
- University of Oxford
- University of Washington
- Cornell University
- KINGS COLLEGE LONDON
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Luxembourg
- Duke University
- ETH Zürich
- New York University
- University of Basel
- Aalborg University
- CNRS
- Chalmers University of Technology
- Czech Technical University in Prague
- King's College London
- Lunds universitet
- National Renewable Energy Laboratory NREL
- Technical University of Munich
- Umeå University
- University of Amsterdam (UvA)
- University of Oxford;
- University of Sydney
- ;
- AI4I
- Brookhaven National Laboratory
- Durham University
- Eindhoven University of Technology (TU/e)
- Harvard University
- Massachusetts Institute of Technology
- Medical College of Wisconsin
- Michigan State University
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF VIENNA
- University of Connecticut
- University of Copenhagen
- University of Lund
- University of Nevada, Reno
- University of Oregon
- University of Oslo
- Uppsala universitet
- Virginia Tech
- AALTO UNIVERSITY
- Academia Sinica
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Argonne National Laboratory
- Bar Ilan University
- Boston University
- Cardiff University
- ERATOSTHENES CENTRE OF EXCELLENCE
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Gulbenkian Institute for Molecular Medicine
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Hong Kong Polytechnic University
- ICN2
- INSA Strasbourg
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Imperial College London
- Institut de Físiques d'Altes Energies (IFAE)
- Institute of Theoretical Physics
- Istituto Italiano di Tecnologia
- KU LEUVEN
- Karolinska Institutet (KI)
- LNEC, I.P.
- Lawrence Berkeley National Laboratory
- Loyola University
- Lulea University of Technology
- Lund University
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Radio Astronomy, Bonn
- Nagoya Institute of Technology
- Nagoya University
- National Aeronautics and Space Administration (NASA)
- National Centre for Nuclear Research
- Northeastern University
- Pennsylvania State University
- SLU
- Saint Louis University
- Singapore-MIT Alliance for Research and Technology
- Stony Brook University
- Swedish University of Agricultural Sciences
- Texas A&M AgriLife
- Texas Christian University
- The Cyprus Institute
- The Peace Research Institute Oslo (PRIO)
- 90 more »
- « less
-
Field
-
. Additional duties may include contributing to writing grant proposals; working with large datasets; analyzing data for accuracy and data integrity; developing questionnaires for follow-up studies
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 9 hours ago
missions (e.g., Surface Biology and Geology - SBG). This could involve advancing atmospheric correction, dimensionality reduction, or machine learning approaches for handling big data in order to improve
-
incremental optimization. We seek researchers to develop next-generation machine learning methods that fundamentally rethink how large-scale AI systems are trained, fine-tuned, and deployed. Our focus is on
-
to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
-
include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
-
/performance trade-offs and typical RAN levers; experience with energy metering data is a plus. • Strong background in AI / Machine Learning for decision-making (e.g., forecasting, optimization with learning
-
for physical AI systems that learn and adapt through continuous exposure to multimodal sensory and radio data, and acts upon real-world environment through distributed coordination and control. Emphasis will be
-
(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the