Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Denmark
- Germany
- France
- Netherlands
- Spain
- Belgium
- Luxembourg
- Switzerland
- Poland
- Portugal
- United Kingdom
- Czech
- China
- Finland
- Ireland
- Italy
- Norway
- Austria
- Brazil
- Canada
- Cyprus
- Hong Kong
- Japan
- Latvia
- Romania
- Saudi Arabia
- Slovenia
- Taiwan
- United Arab Emirates
- Worldwide
- 22 more »
- « less
-
Employer
- Cornell University
- Nature Careers
- University of North Carolina at Chapel Hill
- Chalmers University of Technology
- Stanford University
- Technical University of Munich
- Duke University
- Aarhus University
- University of Washington
- Lunds universitet
- Technical University of Denmark
- Boise State University
- Czech Technical University in Prague
- Eindhoven University of Technology (TU/e)
- KTH Royal Institute of Technology
- Loyola University
- SUNY Polytechnic Institute
- University of Luxembourg
- ETH Zürich
- Forschungszentrum Jülich
- Inria, the French national research institute for the digital sciences
- New York University
- Pennsylvania State University
- SciLifeLab
- University of Amsterdam (UvA)
- University of Basel
- University of Nevada Las Vegas
- University of South Carolina
- VIB
- Aalborg University
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Argonne
- CNRS
- Delft University of Technology (TU Delft)
- ELLIS Institute Finland
- European Space Agency
- George Washington University
- IMT Atlantique
- Indiana University
- Institut Pasteur
- KTH
- Linköping University
- Luxembourg Institute of Science and Technology
- National Renewable Energy Laboratory NREL
- Northeastern University
- Rutgers University
- Télécom Paris
- U.S. Department of Energy (DOE)
- UNIVERSITY OF VIENNA
- University College Cork
- University of California Berkeley
- University of Copenhagen
- University of Minnesota
- University of Southern Denmark
- Washington University in St. Louis
- AALTO UNIVERSITY
- AI4I
- AMOLF
- Aalborg Universitet
- Aalto University
- Academia Sinica
- Adam Mickiewicz University
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- Baylor College of Medicine
- Biobizkaia Health Research Institute
- Boston University
- Broad Institute of MIT and Harvard
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf
- Central China Normal University
- China Center of Advanced Science and Technology
- City University of Hong Kong
- Computer Vision Center
- Consejo Superior de Investigaciones Científicas
- Constructor University Bremen gGmbH
- Copenhagen Business School
- EURAC
- Ecole Normale Supérieure de Lyon
- Episteme
- Flanders Institute for Biotechnology
- Florida Atlantic University
- Fondazione Bruno Kessler
- GFZ Helmholtz-Zentrum für Geoforschung
- Georgia Institute of Technology
- Gulbenkian Institute for Molecular Medicine
- Harvard University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Hereon
- IFM, Linköping University
- IFM/Linköping University
- IMEDEA-CSIC-UIB
- IMT - Institut Mines-Télécom
- IMT MINES ALES
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Illinois Institute of Technology
- Institut Català de Nanociència i Nanotecnologia
- Institut d'Investigacio Biomedica de Bellvitge (IDIBELL)
- Institut de Robòtica e Informàtica Industrial CSIC-UPC
- Institute of Physical Chemistry, Polish Academy of Sciences
- 90 more »
- « less
-
Field
-
predictive machine-learning models from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time
-
and Liu, Supervised learning in physical networks: From machine learning to learning machines, PRX 11, 021045 (2021) [2] Stern and Murugan, Learning without neurons in physical systems, Ann Rev Cond
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
machine learning applied to natural language processing, computer vision, or a related area. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or
-
theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
-
CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | about 1 month ago
-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Open Postdoc
-
Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
-
) signal processing, machine/deep-learning and computational linguistics. The team mobilizes them to produce methodologically sound research in response to some of the challenges posed by the nature and
-
to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a
-
of working with motion capture, eye tracking, machine learning, or other advanced behavioral analyses or related research experiences. A consistently excellent academic track record is required, including
-
strategies, and (ii) NIDS evaluators, to enable more informative and reliable evaluation protocols for ML-based IDS/NIDS. Where to apply Website https://institutminestelecom.recruitee.com/o/postdoc-qualite-des