Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Stanford University
- University of North Carolina at Chapel Hill
- Delft University of Technology (TU Delft)
- Oak Ridge National Laboratory
- University of Oxford
- Cornell University
- Duke University
- EPFL
- Harvard University
- Pennsylvania State University
- Technical University of Munich
- Utrecht University
- New York University
- SciLifeLab
- University of Florida
- Yale University
- Argonne
- Empa
- FAPESP - São Paulo Research Foundation
- KTH Royal Institute of Technology
- NEW YORK UNIVERSITY ABU DHABI
- National Energy Technology Laboratory (NETL)
- Northeastern University
- University of Texas at Arlington
- AALTO UNIVERSITY
- Aalborg University
- Aarhus University
- Baylor College of Medicine
- Baylor University
- CNRS
- Carnegie Mellon University
- Chalmers University of Technology
- European Space Agency
- ICN2
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Istituto Italiano di Tecnologia
- Maastricht University (UM)
- Massachusetts Institute of Technology
- Queen Mary University of London
- Queen Mary University of London;
- Singapore-MIT Alliance for Research and Technology
- Stony Brook University
- Texas A&M AgriLife
- Texas A&M University
- The Ohio State University
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University of Miami
- University of Minnesota
- University of Oxford;
- University of Washington
- Virginia Tech
- Vrije Universiteit Brussel
- ;
- Austrian Academy of Sciences, The Marietta Blau Instiute (MBI)
- Beijing Academy of Quantum Information Sciences
- Computer Vision Center
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
- Forschungszentrum Jülich
- Fundació per a la Universitat Oberta de Catalunya
- Human Technopole
- Högskolan i Skövde
- INSERM
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Imperial College London
- Indiana University
- KU LEUVEN
- King Abdullah University of Science and Technology
- Lancaster University
- Lehigh University
- Lunds universitet
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS)
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Missouri University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- Norwegian University of Life Sciences (NMBU)
- RIKEN
- Radboud University Medical Center (Radboudumc)
- Research Center for Molecular Medicine (CeMM), ÖAW
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Saarland University
- THE UNIVERSITY OF HONG KONG
- Texas A&m Engineering
- The University of Iowa
- Tsinghua University
- Télécom Paris
- U.S. Department of Energy (DOE)
- UNIVERSIDAD POLITECNICA DE MADRID
- Umeå University
- University College Dublin
- University of British Columbia
- University of California
- University of California Irvine
- University of Canterbury
- University of Illinois at Chicago
- University of Liège
- University of London
- 90 more »
- « less
-
Field
-
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
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 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
-
to have published in leading machine learning conferences or similar venues. One or two PDRAs will be recruited to work within one of, or across, the four research themes: Learning with Structured
-
looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot Interaction
-
and assessing weld quality of mechanical parts in real-time by developing machine learning models that use sensor data and other tasks that are assigned to you. Core Responsibilities: Understanding
-
Summary: Duke University is a world-renowned research institution. Currently, we are looking for a Postdoctoral Associate with expertise in deep learning to participate in a research program focused on
-
-scale human datasets. You will: - Build and apply machine learning and deep learning models to multi-scale (cells, brains, patients), multi-modal (omics, biosensor data, vision, electronic health data
-
methods with the ability to implement and evaluate machine-learning systems at scale. Candidates may come from topological data analysis, geometric deep learning, network science, statistical physics
-
trials and deep learning-based modeling of multimodal biomedical data. We are seeking two highly motivated scientists with expertise in Causal Inference / Statistics / Deep Learning / Bioinformatics
-
. Conduct transportation resilience assessment and enhancement studies based on GIS, complex network analysis, and machine learning. Simulate human mobility in response to extreme weather events (e.g