Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- UNIVERSITY OF VIENNA
- Stanford University
- University of Minnesota
- University of North Carolina at Chapel Hill
- Wayne State University
- Argonne
- Cornell University
- Delft University of Technology (TU Delft)
- Macquarie University
- Oak Ridge National Laboratory
- Pennsylvania State University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Oxford
- Utrecht University
- Aarhus 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 Washington
- CNRS
- Duke University
- New York University
- Northeastern University
- SciLifeLab
- University of Florida
- Yale University
- Aalborg University
- Baylor College of Medicine
- Chalmers University of Technology
- Empa
- FAPESP - São Paulo Research Foundation
- Institut Pasteur
- KTH Royal Institute of Technology
- National Energy Technology Laboratory (NETL)
- Queen Mary University of London;
- Stony Brook University
- Texas A&M University
- The Ohio State University
- The University of Iowa
- University College Cork
- University of Miami
- University of Vienna
- AALTO UNIVERSITY
- Baylor University
- 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
- Queen Mary University of London
- Singapore-MIT Alliance for Research and Technology
- 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
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- ;
- AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
- 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
- ETH Zürich
- European University Institute
- Fundació per a la Universitat Oberta de Catalunya
- Heidelberg University
- 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
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS)
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- Michigan State University
- Missouri University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- Norwegian University of Life Sciences (NMBU)
- Poznan University of Technology
- 90 more »
- « less
-
Field
-
Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - strong record of publications - Excellent communication skills and ability to work in a fast
-
are especially encouraged: (1) statistical mechanics, condensed-matter theory, quantum field theory; (2) tensor networks, quantum information, quantum algorithms; (3) machine learning, generative models, large
-
; Familiarity with machine learning concepts and large language models. Deep expertise is not required, but candidates should be comfortable engaging with these technologies at a foundational level; Knowledge of
-
monitoring systems, bedside monitoring devices, or medical device data. Experience linking physiologic waveform features to clinical outcomes. Experience with machine learning, deep learning, predictive
-
skills in English (written and spoken). Programming skills and experience with deep learning frameworks (PyTorch, Hugging Face, etc.). Qualification requirements The eligibility criteria for prospective
-
. Experience with deep learning and programming, preferably in Python, are required and should be evident from your academic track record, including the (online) courses you've followed, your publications
-
highly desirable. Proficiency in programming languages such as Python or C++. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and advanced data analysis tools. Excellent problem
-
Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Research Description The project aims at combining three primary data sets (JWST NEXUS spectroscopy, Euclid Deep Field North
-
economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and
-
deep learning models using the Oak Ridge Leadership Computing Facility (OLCF) systems. Conduct research with scalable transformer-based foundation models with large volumes of spatiotemporal physical