Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- Netherlands
- Germany
- United Kingdom
- United States
- Denmark
- Sweden
- Australia
- France
- Norway
- Belgium
- Switzerland
- Austria
- Spain
- Luxembourg
- Portugal
- Finland
- Canada
- Czech
- Italy
- Poland
- Estonia
- Ireland
- New Zealand
- Hong Kong
- Romania
- Israel
- Singapore
- Bulgaria
- Europe
- Greece
- Iceland
- Sao Tome and Principe
- Slovenia
- Worldwide
- 24 more »
- « less
-
Employer
- Nature Careers
- Technical University of Denmark
- DAAD
- Technical University of Munich
- CNRS
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- Delft University of Technology (TU Delft)
- University of Luxembourg
- Cranfield University
- University of Innsbruck
- ETH Zürich
- Leiden University
- University of Amsterdam (UvA)
- University of Southern Denmark
- Maastricht University (UM)
- University of Melbourne
- Radboud University
- University of Groningen
- Utrecht University
- Leibniz
- NTNU - Norwegian University of Science and Technology
- University of Basel
- ;
- University of East Anglia
- KU LEUVEN
- NTNU Norwegian University of Science and Technology
- University of Nottingham
- Erasmus University Rotterdam
- Monash University
- Delft University of Technology (TU Delft); yesterday published
- Tallinn University of Technology
- University of Amsterdam (UvA); Amsterdam
- Wageningen University & Research
- Delft University of Technology (TU Delft); Delft
- Linköping University
- University of Adelaide
- University of East Anglia;
- University of Göttingen •
- University of Twente (UT)
- AALTO UNIVERSITY
- Norwegian University of Life Sciences (NMBU)
- Susquehanna International Group
- University of Antwerp
- Curtin University
- University of Birmingham
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Ghent University
- Imperial College London;
- Maastricht University (UM); Maastricht
- Umeå University
- University of Bergen
- University of Birmingham;
- University of Sheffield
- Uppsala universitet
- Fraunhofer-Gesellschaft
- Ludwig-Maximilians-Universität München •
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- UNIVERSITY OF HELSINKI
- University of Bonn •
- Vrije Universiteit Amsterdam (VU)
- Wageningen University and Research Center
- Aalborg University
- Delft University of Technology (TU Delft); today published
- Empa
- Technical University Of Denmark
- The University of Chicago
- The University of Manchester
- University of Amsterdam (UvA); yesterday published
- University of Exeter;
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- Leiden University; Leiden
- Lunds universitet
- Radboud University; Nijmegen
- University of Cambridge
- University of Cambridge;
- University of Exeter
- University of Texas at El Paso
- University of Tübingen
- University of Utah
- Vrije Universiteit Amsterdam (VU); Published today
- Aalborg Universitet
- Biology Centre CAS
- Charles University, Faculty of Mathematics and Physics
- Cornell University
- Delft University of Technology (TU Delft); Published yesterday
- Eindhoven University of Technology (TU/e); Eindhoven
- Hannover Medical School •
- Justus Liebig University Giessen •
- La Trobe University
- Lincoln University
- Linköpings universitet
- Loughborough University
- Maastricht University (UM); yesterday published
- National Research Council Canada
- Newcastle University
- Purdue University
- Queensland University of Technology
- The Ohio State University
- The University of Manchester;
- 90 more »
- « less
-
Field
- Computer Science
- Biology
- Medical Sciences
- Economics
- Engineering
- Science
- Chemistry
- Linguistics
- Mathematics
- Materials Science
- Business
- Psychology
- Environment
- Humanities
- Earth Sciences
- Social Sciences
- Arts and Literature
- Education
- Law
- Electrical Engineering
- Physics
- Philosophy
- Design
- Sports and Recreation
- 14 more »
- « less
-
of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
-
DIFFER: Science for future energy At the Dutch Institute for Fundamental Energy Research (DIFFER) we work on a future in which clean energy will be available to everybody, anywhere in the world. DIFFER’s mission is to perform leading fundamental research on materials, processes, and systems for...
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in challenging deep learning at its core? And
-
The Centre for Machine Learning located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
-
in higher education and research, in and outside academia. This PhD fellowship is part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN) . Six national research
-
The Loft Group at the Functional Genomics & Metabolism Research Unit, Department of Biochemistry and Molecular Biology, University of Southern Denmark, invites applications for a PhD position focused on experimental approaches to uncover mechanisms linking adipose tissue heterogeneity to...
-
Are you interested in challenging deep learning at its core? And specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision
-
Project Title: Intrinsically-aligned machine learning In a truly cross-disciplinary effort, this project, funded by the Leverhulme Trust and in collaboration with the University of Manchester, will leverage
-
Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 18 days ago
, startups and patient partners. Your Mission as PhD is to develop novel machine-learning methods to (1) detect small, clinically meaningful changes in joints, (2) enable robust longitudinal monitoring and
-
make extensive use of low-fidelity simulations which can provide fast but inaccurate solutions depending on the flow complexity. To close this gap, this PhD will explore machine-learning (ML) methods