Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- UNIVERSITY OF VIENNA
- Argonne
- Aarhus University
- Stony Brook University
- Technical University of Munich
- University of North Carolina at Chapel Hill
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Technical University of Denmark
- University of Oxford
- Duke University
- Stanford University
- University of California Berkeley
- Brookhaven National Laboratory
- Cornell University
- The University of Iowa
- University of Amsterdam (UvA)
- University of Lund
- University of Luxembourg
- University of Washington
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- CNRS
- Carnegie Mellon University
- ETH Zürich
- IMT Atlantique
- Institut Pasteur
- Institut de Físiques d'Altes Energies (IFAE)
- Lunds universitet
- Macquarie University
- New York University
- Northeastern University
- Oak Ridge National Laboratory
- South Dakota Mines
- THE UNIVERSITY OF HONG KONG
- University of Antwerp
- University of Basel
- University of Colorado
- University of Miami
- University of Minnesota
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- AALTO UNIVERSITY
- Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf
- Constructor University Bremen gGmbH
- Copenhagen Business School
- Delft University of Technology (TU Delft)
- Durham University
- ERATOSTHENES CENTRE OF EXCELLENCE
- Eindhoven University of Technology (TU/e)
- European Magnetism Association EMA
- European Space Agency
- Flanders Institute for Biotechnology
- Fondazione Bruno Kessler
- Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Harvard University
- Helmholtz Zentrum Hereon
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Hong Kong Polytechnic University
- ICN2
- IMT - Institut Mines-Télécom
- IMT Nord Europe
- Institute of Physical Chemistry, Polish Academy of Sciences
- Instituto de Engenharia Mecânica
- Istituto Italiano di Tecnologia
- KTH Royal Institute of Technology
- King's College London
- Leibniz
- Luxembourg Institute of Science and Technology
- McGill University
- NEW YORK UNIVERSITY ABU DHABI
- Purdue University
- Rutgers University
- SUNY University at Buffalo
- Sandia National Laboratories
- Singapore-MIT Alliance for Research and Technology
- Southwestern University of Finance and Economics
- Texas A&M University
- The Ohio State University
- The University of North Carolina at Chapel Hill
- Tufts University
- Télécom Paris
- UNIVERSITE ANGERS
- UNIVERSITE D'ORLEANS
- Umeå University
- Umeå universitet
- University of British Columbia
- University of California, Berkeley
- University of Cambridge;
- University of Canterbury
- University of Canterbury, New Zealand;
- University of London
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of Oxford;
- University of Sydney
- University of Texas at Arlington
- University of Utah
- University of Vienna
- Université Grenoble Alpes
- 90 more »
- « less
-
Field
-
reconstruction and processing. Candidates are expected to have a strong background in medical imaging, experience in imaging system evaluation, deep learning and clinical investigation. Brief Description of Duties
-
You should have a PhD or equivalent qualification/experience in Physics or Engineering, in a field related to this project. Training in unique techniques will be provided, but we expect you to have
-
serving (Ray/VLLM), quantization and sharding, prompt optimization, reinforcement learning, Transformers/Deep-SSMs/Test-Time Regression Extensive knowledge of agentic AI systems research, engineering and
-
applicants who combine strong quantitative skills with a deep interest in the fundamental mechanisms shaping plant communities and their response to climate change. Qualifications: • PhD in Ecology or a
-
detected at a regional scale. The implementation of advanced InSAR processing chains will provide new insights into the phenomena observed and enrich the databases required for deep learning methods
-
assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
-
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
-
environments (Gazebo, Unreal Engine, or Unity). You have experience in artificial intelligence (Deep Learning, PyTorch) or embedded systems (ROS2, FPGA/VHDL design). You are curious, show scientific rigor and
-
Relativity, and cosmological measurements using GWs such as Hubble constant and probes of inflation and phase transitions in the early universe. We are developing new data analysis methods like the use of deep
-
highly stimulating environment that engages the best and brightest faculty and students to conduct deep and impactful research. Our faculty's research expertise and strengths cover several key