Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Aalborg University
- SciLifeLab
- Technical University of Munich
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- CNRS
- Carnegie Mellon University
- Leibniz
- University of Nottingham
- Cranfield University
- Faculty of Science, Charles University
- Linköping University
- Technical University of Denmark
- The University of Manchester
- University of Antwerp
- University of Luxembourg
- University of Southern Denmark
- Uppsala universitet
- Vrije Universiteit Brussel (VUB)
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Cambridge
- University of Texas at El Paso
- VIB
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Fondazione Bruno Kessler
- Inria, the French national research institute for the digital sciences
- KU LEUVEN
- Maastricht University (UM)
- Newcastle University
- University of Cambridge;
- University of Exeter
- University of Massachusetts Medical School
- University of Surrey
- Utrecht University
- ;
- AALTO UNIVERSITY
- Auburn University
- CNRS UMR6614 CORIA
- Centrale Supelec
- Chalmers University of Technology
- Constructor University Bremen gGmbH
- Copenhagen Business School
- Duke University
- Electronics and Informatics Department
- Empa
- Erasmus University Rotterdam
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fraunhofer-Gesellschaft
- Harper Adams University
- Helmholtz Zentrum Hereon
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- IMDEA Networks Institute
- IMEC
- INRIA
- Imperial College London;
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- KNAW
- King's College London;
- LEM3
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Linköpings universitet
- Loughborough University;
- Lunds universitet
- Manchester Metropolitan University;
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Max Planck Institute for the History of Science •
- Michigan State University
- Monash University
- NIOZ Royal Netherlands Institute for Sea Research
- Oxford Brookes University
- Purdue University
- Queensland University of Technology
- Radboud University Medical Center (Radboudumc)
- Science me Up
- Swedish University of Agricultural Sciences
- Tampere University
- Technical University Of Denmark
- The University of Chicago
- UNIVERSITY OF VIENNA
- Umeå University
- University of Amsterdam (UvA)
- University of Leeds
- University of Lincoln
- University of Lund
- University of Melbourne
- University of Oslo
- University of Plymouth
- University of South Bohemia
- University of Twente
- University of Vienna
- University of Warwick;
- Université Gustave Eiffel
- Université Toulouse Capitole
- Vrije Universiteit Brussel
- cellumation GmbH
- 90 more »
- « less
-
Field
-
) Radio/physical-layer intelligence (e.g., channel estimation, CSI prediction, edge-deployable deep learning), or ii) Networking and control-plane intelligence (e.g., reinforcement learning for scheduling
-
). Completed academic courses in AI or machine learning. We consider it an advantage if you bring experience with Reinforcement Learning, Deep Learning and/or Explainable AI, demonstrated for example through
-
Reinforcement Learning, Deep Learning and/or Explainable AI, demonstrated for example through coursework or research projects. Our offer a position for 18 months, with an extension to a total of four years upon
-
description Integreat - the Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo invites applications for a doctoral research fellowship. The PhD candidate will work at the
-
programming, Bayesian deep learning, causal inference, reinforcement learning, graph neural networks, and geometric deep learning. In particular, you will be part of the Causality team under the supervision
-
. Hu, X. Wei, X. Wu, J. Sun, J. Chen, Y. Huang, J. Chen, A deep learning-enhanced framework for multiphysics joint inversion, Geophysics, 88(1), K13-K26, 2023. https://doi.org/10.1190/geo2021-0589.1 [3
-
? No Offer Description About cellumation cellumation is a Bremen-based deep-tech company and spin-off from the Bremen Institute of Production and Logistics (BIBA). We develop the celluveyor – a modular
-
motivated candidate with a strong background in statistics and/or machine learning. Areas of particular interest include, but are not limited to: Causal Discovery and Causal Inference Extreme Value Theory
-
across both surface and subsurface layers. This includes constructing robust feature extraction pipelines, attention-based fusion architectures, and deep learning models that accurately characterize cracks
-
host chromatin pathways (DFG Research Unit DEEP-DV, FOR5200). The group uses experimental infection systems, an array of high-throughput sequencing methods, and single-molecule live-cell imaging