Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- UNIVERSITY OF VIENNA
- Stanford University
- MOHAMMED VI POLYTECHNIC 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
- University of Oxford
- Utrecht University
- CNRS
- 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 Florida
- University of Washington
- Aarhus University
- Duke University
- New York University
- Northeastern University
- SciLifeLab
- Singapore-MIT Alliance for Research and Technology
- University of Miami
- 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 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
- 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 New Hampshire – Main Campus
- 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
- Lancaster University
- Lehigh University
- Lunds universitet
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- 90 more »
- « less
-
Field
-
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
-
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
-
. 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
-
; 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
-
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
-
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
-
strong technical expertise in deep learning, such as models for image segmentation, classification, multi-modal processing, foundation models, or agentic frameworks. An extensive background in computer
-
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