5,947 machine-learning-"https:" "https:" "https:" "FCT NOVA UNIDEMI" Postdoctoral positions
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Sweden
- Germany
- Netherlands
- Denmark
- Spain
- United Arab Emirates
- Ireland
- Morocco
- Poland
- Belgium
- Brazil
- Portugal
- Hong Kong
- Finland
- Japan
- Switzerland
- Australia
- Austria
- Italy
- China
- Czech
- Canada
- Romania
- Luxembourg
- Norway
- Saudi Arabia
- Taiwan
- Singapore
- Croatia
- Israel
- Greece
- Andorra
- Bulgaria
- Cyprus
- New Zealand
- Mexico
- Estonia
- Jersey
- Latvia
- Slovenia
- Vietnam
- Azerbaijan
- Europe
- Germany / Finland
- Iceland
- Russia
- Sao Tome and Principe
- South Africa
- Worldwide
- 42 more »
- « less
-
Employer
- CNRS
- Princeton University
- Nature Careers
- University of North Carolina at Chapel Hill
- Rutgers University
- NEW YORK UNIVERSITY ABU DHABI
- University of Washington
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stony Brook University
- Cornell University
- Stanford University
- Duke University
- FAPESP - São Paulo Research Foundation
- University of Oxford
- THE UNIVERSITY OF HONG KONG
- University of Minnesota
- Northeastern University
- The Ohio State University
- University College Cork
- University of Miami
- Argonne
- Technical University of Munich
- Texas A&M University
- The University of Arizona
- Carnegie Mellon University
- Chalmers University of Technology
- Oak Ridge National Laboratory
- UNIVERSITY OF VIENNA
- KINGS COLLEGE LONDON
- Hamilton College
- Pennsylvania State University
- National Aeronautics and Space Administration (NASA)
- Delft University of Technology (TU Delft)
- Aalborg University
- Institute of Photonic Sciences
- Aarhus University
- Ghent University
- Lunds universitet
- SUNY University at Buffalo
- Emory University
- Technical University of Denmark
- University of Oregon
- Indiana University
- UNIVERSITY OF HELSINKI
- Leibniz
- University of Kentucky
- AALTO UNIVERSITY
- Massachusetts Institute of Technology
- Baylor College of Medicine
- University of California Irvine
- University of Oxford;
- RIKEN
- Texas A&M AgriLife
- The University of North Carolina at Chapel Hill
- Virginia Tech
- University of Maryland, Baltimore
- University of Southern Denmark
- Forschungszentrum Jülich
- Medical College of Wisconsin
- University of Amsterdam (UvA)
- Uppsala universitet
- KTH Royal Institute of Technology
- Loyola University
- Durham University
- Harvard University
- University College Dublin
- DURHAM UNIVERSITY
- King's College London
- U.S. Department of Energy (DOE)
- University of Luxembourg
- George Washington University
- Karolinska Institutet (KI)
- University of Oslo
- King Abdullah University of Science and Technology
- Universitat de Barcelona
- University of Colorado
- University of Florida
- Utrecht University
- Brookhaven National Laboratory
- ETH Zürich
- Inria, the French national research institute for the digital sciences
- Saint Louis University
- University of Utah
- University of Virginia
- Washington University in St. Louis
- New York University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Umeå universitet stipendiemodul
- University of Basel
- University of Texas at Dallas
- McGill University
- Zintellect
- Empa
- The University of Iowa
- Umeå University
- Universite de Montpellier
- University of Warsaw
- Villanova University
- Heidelberg University
- SciLifeLab
- 90 more »
- « less
-
Field
- Computer Science
- Biology
- Medical Sciences
- Engineering
- Science
- Economics
- Mathematics
- Chemistry
- Materials Science
- Environment
- Psychology
- Earth Sciences
- Humanities
- Philosophy
- Social Sciences
- Physics
- Arts and Literature
- Electrical Engineering
- Linguistics
- Law
- Business
- Education
- Sports and Recreation
- Design
- Statistics
- 15 more »
- « less
-
to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field
-
or machine learning, proficiency in deep learning techniques (CNN, VIT, diffusion, GAN) Good understanding of the mathematical foundations of machine learning Mastering python and related AI software
-
approaches are gaining importance for autonomous vehicles. However, the training and certification of autonomous systems with machine learning components is a huge challenge, since the learned behavior is
-
measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more
-
standard Python libraries for machine learning, in particular PyTorch. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6072-DAVTSC-008/Default.aspx Work Location(s) Number of offers
-
Responsibilities Conduct and disseminate research on human-computer interaction, with interest and focus on considering learning aspects in design; or in educational technology with interest and focus on interaction
-
the next generation of PV technologies for beyond 2030. The new postdoctoral research position will use materials modelling techniques (DFT, molecular dynamics, machine learning potentials) to investigate
-
Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 2 months ago
attention, prediction and learning, as well as the intricate coupling between action and perception. Our research combines (1) cross-species in-vivo observations of brain electrical and neurotransmitter
-
l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 2 months ago
LevelPhD or equivalent Research FieldMathematicsEducation LevelPhD or equivalent Skills/Qualifications Must hold a Ph.D. degree in Mathematics / Computer science or Machine Learning. • Be able to work within
-
SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable