Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Fondazione Bruno Kessler
- NTNU - Norwegian University of Science and Technology
- ETH Zürich
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Monash University
- NTNU Norwegian University of Science and Technology
- University of Luxembourg
- University of Vienna
- Wageningen University & Research
- Blekinge Institute of Technology
- CNRS
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- KU LEUVEN
- Norwegian Institute of Bioeconomy Research
- Technical University Of Denmark
- Technical University of Denmark
- The University of Newcastle
- UNIVERSITY OF VIENNA
- University of Copenhagen
- University of Oxford
- University of Southern Denmark (SDU)
- 12 more »
- « less
-
Field
-
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
-
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
-
31 Aug 2026 Job Information Organisation/Company Fondazione Bruno Kessler Research Field Other Researcher Profile Other Profession Positions PhD Positions Application Deadline 24 Sep 2026 - 23:59
-
» Mechanical engineering Engineering » Industrial engineering Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe
-
discovery, personalized medicine, and the transition toward advanced animal-free testing methods. Your immediate leader will be the Head of Department. About the project The PhD position is funded through
-
, experience working with large-scale geospatial datasets and high-performance or cloud computing, and demonstrated expertise in advanced machine learning. Experience leading research projects, managing budgets
-
, taking into account applicant eligibility and project preference. Both positions come with generous funding for project-related costs, including computing resources and travel to domestic and international
-
4th October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Digital Sovereignty Apply for this job See advertisement This is NTNU NTNU
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Integrated optics is currently experiencing unprecedented growth, driven