Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Stanford University
- University of Oslo
- University of North Carolina at Chapel Hill
- University of Toronto
- Harvard University
- Indiana University
- UNIVERSITY OF VIENNA
- Cornell University
- Northeastern University
- University of Vienna
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Rutgers University
- University of Florida
- University of Minnesota
- Aarhus University
- EPFL
- SciLifeLab
- Springer Nature Ltd
- University of Arkansas
- University of British Columbia
- University of Washington
- AALTO UNIVERSITY
- Baylor University
- Brown University
- CNRS
- Carnegie Mellon University
- Chalmers University of Technology
- Forschungszentrum Jülich
- KTH Royal Institute of Technology
- Pennsylvania State University
- The University of Iowa
- Utrecht University
- Delft University of Technology (TU Delft)
- Duke University
- ETH Zürich
- Inria, the French national research institute for the digital sciences
- Johns Hopkins University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Maastricht University (UM)
- NEW YORK UNIVERSITY ABU DHABI
- Nanyang Technological University
- New York University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Stony Brook University
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF MACAU
- Umeå University
- University of California
- University of California Berkeley
- University of Colorado
- University of Delaware
- University of Glasgow
- University of New South Wales
- University of Texas at Dallas
- VIB
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Yale University
- Zintellect
- ;
- Aalborg University
- Aarhus University (AU)
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Austrian Academy of Sciences, The Marietta Blau Instiute (MBI)
- Baylor College of Medicine
- Boise State University
- CEA
- Center for Infectious Disease Research, Westlake University
- Centro de Engenharia Biológica da Universidade do Minho
- Computer Vision Center
- Czech Technical University in Prague
- Dalhousie University
- Dana-Farber Cancer Institute (DFCI)
- ESSEC Business School
- Earlham Institute
- Eindhoven University of Technology (TU/e)
- Empa
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Fields Institute
- George Mason University
- Heidelberg University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- INSERM
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Imperial College London;
- Institut Català de Nanociència i Nanotecnologia
- Institut Pasteur
- Institute for Bioengineering of Catalonia (IBEC)
- Institute for bioengineering of Catalonia, IBEC
- Instituto de Sistemas e Robótica (ISR)
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Istituto Italiano di Tecnologia
- KU LEUVEN
- King Abdullah University of Science and Technology
- Lunds universitet
- Macquarie University
- Massachusetts Institute of Technology
- Max-Planck-Institut für Bildungsforschung
- Memorial Sloan-Kettering Cancer Center
- Michigan State University
- 90 more »
- « less
-
Field
-
Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data fusion is highly desirable Ability to work independently, as well as collaboratively in
-
-to-confidence set conversion' framework recently proposed by the PI (Principal Investigator). The models of interest include deep neural networks with multiple layers and non-linear activations, extending recent
-
AI, Biomedical Informatics, Computational Biology, or a related field Strong programming skills in Python and modern ML frameworks Experience with deep learning and large language models Strong
-
origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http
-
-binding and deep-learning neural networks. These methods will be integrated into the next-generation Amber software suite used worldwide. The project is to design and implement new high-performance software
-
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
-
: https://las.illinois.edu . Candidates must hold a Ph.D. in microbiology or a related field, have postdoctoral experience, have a track record of creativity and productivity, show evidence or promise
-
practices and integrity. They will bring a proven track record of engaging with healthcare policy or legislative reform, as well as deep expertise in pharmaceutical safety, drug approval mechanisms, and risk
-
algorithms, representation and learning of data and dynamical systems, geometric deep learning, topological and algebraic data analysis, optimization on manifolds, and operator- and PDE-based approaches
-
collaboration - both within academia and with industry partners Expertise in one or more core areas of machine learning and foundation models, such as deep learning, representation learning, probabilistic