Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- UNIVERSITY OF VIENNA
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- University of North Carolina at Chapel Hill
- Argonne
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Minnesota
- Wayne State University
- Cornell University
- Delft University of Technology (TU Delft)
- Macquarie University
- Oak Ridge National Laboratory
- Pennsylvania State University
- Carnegie Mellon University
- EPFL
- Harvard University
- Helmholtz Association of German Research Centres
- NEW YORK UNIVERSITY ABU DHABI
- THE UNIVERSITY OF HONG KONG
- Technical University of Munich
- University of Oxford
- University of Washington
- Utrecht University
- Aarhus University
- CNRS
- Duke University
- New York University
- Northeastern University
- SciLifeLab
- Singapore-MIT Alliance for Research and Technology
- University of Florida
- University of Miami
- Yale University
- Aalborg University
- Baylor College of Medicine
- Chalmers University of Technology
- 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
- Empa
- 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
- Queen Mary University of London;
- U.S. Department of Energy (DOE)
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF HELSINKI
- University of British Columbia
- 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
- 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
- Lehigh University
- Lunds universitet
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- 90 more »
- « less
-
Field
-
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
-
your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research
-
where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a
-
integrate calculations of quasielastic and deep-inelastic scattering processes into a unified framework for modeling electron-nucleus cross-section, and evaluate reaction and nuclear-structure models relevant
-
activities. This is an exciting opportunity to work within a collaborative group with deep expertise in silicon detectors, Trigger/DAQ (TDAQ) systems, software, and computing. The Argonne ATLAS group plays a
-
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
-
; experience with foundational AI model development/fine-tuning and machine learning and/or deep learning; strong programming skills (e.g., Python, JavaScript, PostgreSQL) with clear expertise in front-end and
-
. The project focuses on the intersection of deep reinforcement learning, probabilistic modeling, and bio-inspired architectures (such as Spiking Neural Networks) to achieve sample- and energy-efficient robust
-
software, computing or triggers for the ATLAS experiment would be highly desirable, as would experience with deep learning and concurrent programming The post will work in the first instance the High Energy
-
candidates will have experience in artificial intelligence, deep learning or decision support applied to RF sensing, wireless communications and signal processing. A strong background in multimodal data