Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Fondazione Bruno Kessler
- Monash University
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- NTNU Norwegian University of Science and Technology
- University of Vienna
- Blekinge Institute of Technology
- Durham University
- ETH Zürich
- Forschungszentrum Jülich
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Instituto de Sistemas e Robótica (ISR)
- KU LEUVEN
- Norwegian Institute of Bioeconomy Research
- Oslo Metropolitan University
- OsloMet
- Technical University Of Denmark
- The University of Newcastle
- UNIVERSITY OF VIENNA
- University of Luxembourg
- University of Newcastle
- University of Nottingham
- University of Oxford
- 14 more »
- « less
-
Field
-
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 This PhD project is part
-
PhD Scholarship Opportunity: Secure Quantum Computation on Shared Quantum Processors Job No.: 699200 Location: Clayton campus Melbourne Employment Type: Full-time Duration: The scholarship may be
-
the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2026-598 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD research
-
between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also explore hybrid
-
Skjalg Bøhmer Vold 6th November 2026 Languages English Norsk Bokmål English English PhD fellowship in quantum computing, optimization on noisy gate-based NISQ platforms Apply for this job See
-
Integrated optics is currently experiencing unprecedented growth, driven largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing
-
bachelor’s degree programmes, a master’s degree programme, and is part of a cross-departmental PhD program. Academic staff at the department are pursuing research in a wide range of areas including
-
are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
-
-constrained Physical AI by dynamically distributing and adapting AI workloads across embedded devices, the edge, and the cloud, while jointly orchestrating communication, computation, and sensing under strict
-
requirements for admission to the PhD programme Experience implementing and modifying deep learning architectures. Working knowledge of Python and a modern deep learning framework. Strong programming skills in