Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Luxembourg
- Nature Careers
- Technical University of Munich
- CNRS
- Norwegian University of Life Sciences (NMBU)
- Universidade de Vigo
- Forschungszentrum Jülich
- Tallinn University of Technology
- The University of Edinburgh;
- University of Exeter
- University of Innsbruck, Institute of Computer Science
- AI & Cyber Futures Institute - Charles Sturt University
- Arts et Métiers Institute of Technology (ENSAM)
- CERN - European Organization for Nuclear Research
- Cranfield University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Edinburgh Napier University;
- Edmund Mach Foundation
- IMDEA Networks Institute
- IRTA
- Imperial College London
- Imperial College London;
- Inria, the French national research institute for the digital sciences
- Institute of Nuclear Physics Polish Academy of Sciences
- Instituto Superior de Engenharia do Porto
- KU LEUVEN
- Loughborough University
- Monash University
- NILU
- RWTH Aachen University
- Technical University of Denmark
- The Norwegian School of Sport Sciences
- The University of British Columbia (UBC)
- The University of Manchester
- University of A Coruña
- University of Antwerp
- University of Birmingham;
- University of East Anglia
- University of Limoges (France), Nokia & Iscte-IUL (Portugal)
- University of Minnesota
- University of Southern Denmark
- University of Southern Queensland
- Université Savoie Mont Blanc
- Uppsala universitet
- Wetsus - European centre of excellence for sustainable water technology
- 37 more »
- « less
-
Field
-
the EU Research Framework Programme? European Union / Next Generation EU Reference Number 163921 Is the Job related to staff position within a Research Infrastructure? No Offer Description Surrogate
-
reinforcement learning for edge-cloud-based computation. In both cases, vehicles and robots must be able to navigate around obstacles and manage safety constraints along the planned trajectory, even in situations
-
This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
-
frequent cloud contamination. This scale mismatch prevents a coherent representation of radiative–thermal processes at the urban scale. This PhD will develop physics-informed deep learning models for data
-
and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order) . Employment will be in accordance with the collective agreement between the Ministry of Finance and the Danish