Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- UNIVERSITY OF VIENNA
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- Argonne
- Delft University of Technology (TU Delft)
- University of Minnesota
- Chalmers University of Technology
- Macquarie University
- Oak Ridge National Laboratory
- Pennsylvania State University
- University of North Carolina at Chapel Hill
- Wayne State University
- CNRS
- Carnegie Mellon University
- Cornell University
- EPFL
- Harvard University
- Helmholtz Association of German Research Centres
- NEW YORK UNIVERSITY ABU DHABI
- THE UNIVERSITY OF HONG KONG
- University of Florida
- University of Oxford
- University of Washington
- Aarhus University
- Duke University
- New York University
- Northeastern University
- Singapore-MIT Alliance for Research and Technology
- Technical University of Munich
- University of Miami
- Utrecht University
- Yale University
- Aalborg University
- Baylor College of Medicine
- FAPESP - São Paulo Research Foundation
- Institut Pasteur
- KTH Royal Institute of Technology
- National Energy Technology Laboratory (NETL)
- Stony Brook University
- Texas A&M University
- The Ohio State University
- The University of Iowa
- University College Cork
- University of Vienna
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Baylor University
- ETH Zürich
- European Space Agency
- Forschungszentrum Jülich
- ICN2
- Inria, the French national research institute for the digital sciences
- Istituto Italiano di Tecnologia
- Maastricht University (UM)
- Massachusetts Institute of Technology
- Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS)
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Queen Mary University of London;
- SciLifeLab
- U.S. Department of Energy (DOE)
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF HELSINKI
- University of California
- University of London
- University of Lund
- University of Texas at Arlington
- University of Turku
- Virginia Tech
- Vrije Universiteit Brussel
- ;
- AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
- Aarhus University (AU)
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Austrian Academy of Sciences, The Marietta Blau Instiute (MBI)
- Beijing Academy of Quantum Information Sciences
- CEA
- Computer Vision Center
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
- ESSEC Business School
- Empa
- Fundació per a la Universitat Oberta de Catalunya
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Human Technopole
- INSERM
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- IRCM - Cancer Research Institute of Montpellier
- Imperial College London
- Indiana University
- Institute of Marine Research
- KU LEUVEN
- King Abdullah University of Science and Technology
- King's College London
- Lancaster University
- Le Mans Université
- Lehigh University
- Lunds universitet
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- Max-Delbrück-Centrum für Molekulare Medizin
- Michigan State University
- 90 more »
- « less
-
Field
-
missions operated by LATMOS. The postdoc will employ deep learning approaches using satellite data and ground stations. -Understanding the infrared data from the IASI mission and identifying the channels
-
a sequential decision-making process explored through computational simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that reproduces
-
seabed sensing research project focused on characterizing the upper-layer geoacoustic properties of deep-water seafloors. The position will support research involving acoustic sensing technologies, data
-
-of-the-art bioinformatics approaches, increasingly incorporating AI and deep learning (see, e.g., Sarropoulos et al., Science 2026). This work has provided insights into the origins and functional evolution
-
prospection with the FLAIR's strengths in developing new multi-objective deep reinforcement learning algorithms, to support decision makers under uncertainty. VUB team:Prof. dr. Ralf Vandam (AMGC), Prof. dr
-
self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
-
demonstrated experience applying machine learning methods — including regularized regression, ensemble methods, and supervised classification — within rigorous cross-validation frameworks. Experience with data
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
-series. Experience exploring machine learning and deep learning techniques for geospatial applications is highly desirable to effectively engage with Earth observation foundation models. Technical
-
future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
-
segmentation, anomaly detection, and extraction of biomarkers for disease classification. Design deep learning models for multimodal image registration and alignment of ultrasound with ground-truth MRI data. 2