Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- UNIVERSITY OF VIENNA
- Stanford University
- University of Minnesota
- University of North Carolina at Chapel Hill
- Wayne State 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
- Argonne
- Cornell 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
- CNRS
- Duke University
- New York University
- Northeastern University
- SciLifeLab
- University of Miami
- Yale University
- Aalborg University
- Baylor College of Medicine
- Carnegie Mellon University
- Chalmers University of Technology
- Empa
- FAPESP - São Paulo Research Foundation
- Institut Pasteur
- KTH Royal Institute of Technology
- National Energy Technology Laboratory (NETL)
- Stony Brook University
- The Ohio State University
- The University of Iowa
- University College Cork
- University of Texas at Arlington
- 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
- Queen Mary University of London;
- Singapore-MIT Alliance for Research and Technology
- Texas A&M AgriLife
- Texas A&M University
- 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 Oxford;
- University of Vienna
- 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
- East Carolina University
- European University Institute
- Fundació per a la Universitat Oberta de Catalunya
- Heidelberg University
- Human Technopole
- INSERM
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Imperial College London
- Indiana University
- Institute for bioengineering of Catalonia, IBEC
- 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 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
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- Michigan State University
- 90 more »
- « less
-
Field
-
of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large
-
years prior to the application deadline. Experience with machine learning for scientific applications. Experience with deep learning frameworks such as PyTorch or TensorFlow. Experience with atomistic
-
, clinical trials, machine learning, optimization, or related methodological areas. Learning and applying deep learning, agentic AI, and other AI methods in assisting research is encouraged. Research
-
leverage reinforcement learning, deep learning, and generative AI, and evaluate against the research front in mathematical optimization strategies, to enable efficient, robust, and adaptive evacuation
-
communication) Willingness to learn and confront new challenges Preferred Qualifications Doctoral research conducted in the area of machine learning for healthcare and related topics Deep knowledge of multi-modal
-
premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence
-
, deep reinforcement learning, and human-machine interaction. Facilitate strategic collaborations across departments within the College of Engineering and with the UM Miller School of Medicine, to advance
-
cardiovascular care. Within the consortium, TU Delft contributes expertise in cardiac mechanics, soft tissue modeling, growth and remodeling, machine learning, and uncertainty-aware model personalization. As a
-
. ● Demonstrated expertise in causal inference, with interest in methods development. ● Experience with statistical and ML methods, including at least one of the following: Bayesian methods, deep learning
-
-d ). These values are embedded in our Principles of Community , which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better