Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- UNIVERSITY OF VIENNA
- Argonne
- Aarhus University
- Stony Brook University
- Technical University of Munich
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Technical University of Denmark
- University of North Carolina at Chapel Hill
- University of Oxford
- Duke University
- Stanford University
- Brookhaven National Laboratory
- Cornell University
- IMT Atlantique
- The University of Iowa
- University of Amsterdam (UvA)
- University of California Berkeley
- University of Lund
- University of Luxembourg
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- CNRS
- Carnegie Mellon University
- Copenhagen Business School
- ETH Zürich
- Institut Pasteur
- Institut de Físiques d'Altes Energies (IFAE)
- Institute of Physical Chemistry, Polish Academy of Sciences
- Lunds universitet
- Macquarie University
- New York University
- Northeastern University
- Rutgers University
- South Dakota Mines
- THE UNIVERSITY OF HONG KONG
- University of Basel
- University of Colorado
- University of Miami
- University of Minnesota
- University of Washington
- Université Grenoble Alpes
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- AALTO UNIVERSITY
- Brown University
- Constructor University Bremen gGmbH
- Delft University of Technology (TU Delft)
- Durham University
- Eindhoven University of Technology (TU/e)
- European Magnetism Association EMA
- European Space Agency
- Fondazione Bruno Kessler
- Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Harvard University
- Helmholtz Zentrum Hereon
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Hong Kong Polytechnic University
- ICN2
- IMT - Institut Mines-Télécom
- IMT Nord Europe
- Institute of Measurement Science, Slovak Academy of Sciences
- Instituto de Engenharia Mecânica
- Istituto Italiano di Tecnologia
- KTH Royal Institute of Technology
- King's College London
- Leibniz
- Luxembourg Institute of Science and Technology
- Maastricht University (UM)
- NEW YORK UNIVERSITY ABU DHABI
- Norwegian Meteorological Institute
- Purdue University
- SUNY University at Buffalo
- Sandia National Laboratories
- Singapore-MIT Alliance for Research and Technology
- Texas A&M University
- The Francis Crick Institute
- The Ohio State University
- The University of North Carolina at Chapel Hill
- Tufts University
- Télécom Paris
- UNIVERSITE ANGERS
- UNIVERSITE D'ORLEANS
- Umeå University
- Umeå universitet
- University of Antwerp
- University of British Columbia
- University of California, Berkeley
- University of Cambridge;
- University of Canterbury
- University of Canterbury, New Zealand;
- University of London
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of Oxford;
- University of Texas at Arlington
- University of Utah
- University of Vienna
- Université Savoie Mont Blanc
- Université côte d'azur
- 90 more »
- « less
-
Field
-
their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master
-
methods (e.g., deep learning, generative models, representation learning) ● Experience working with large public biological datasets/repositories (e.g., GEO, SRA, UK Biobank, GTEx, etc
-
, tape-out, and testing, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing. ● Emerging AI
-
imaging, deep proteomics, metabolomics, metaproteomics, and machine learning (ML) approaches to develop diagnostic classifiers, spatial tissue atlases, and identify potential therapeutic targets
-
attribution, representation analysis, causal probing, and mechanistic circuit analysis. The postholder will also develop predictive models using modern deep learning frameworks (e.g., PyTorch) and evaluate them
-
. Candidates whose doctoral work focused on deep learning methods and who have a strong interest in genomics will also be considered. Experience: At least one publication in computational genomics or machine
-
automated configuration mechanisms based on fingerprinting and machine learning to ensure traffic analysis remains faithful to the behavior of the monitored machines. Finally, you will validate your solutions
-
. The Regenerative Immunology lab is currently composed of three PhD students, three postdoctoral fellows, one MS student, and one animal technician. The lab resides within the Division of Molecular Medicine and Gene
-
, Physics or a closely related field. Completed PhD in one of the above or a closely related field. Strong background in Machine Learning and Artificial Intelligence, including interest in alternative
-
comparing supervised and unsupervised methods (e.g., regularized regression, tree-based models, ensemble methods, clustering, dimensionality reduction) and deep learning approaches Developing and applying