Sort by
Refine Your Search
-
. More concretely your work package, for the preparation of a doctorate, contains: We invite you for a fully funded PhD position within the prestigious European Research Council (ERC) Consolidator Grant
-
, you have come to the right place! Your role The successful candidate will work under the academic supervision from the University of Luxembourg, and in close collaboration with its industrial partner
-
the preparation of a doctorate, contains: Description: Within the context of the Belgian funded FWO project “Integrated photonic Ising machines” there is currently an open position at the Vrije Universiteit Brussel
-
of economics and development. Position You will work actively on the preparation and defence of a PhD thesis in the field of economics and development. The PhD project will use theory and survey experiments
-
back boundaries and set a course for the future – a future that you can help to shape. The A-PECS research group at the Department of Bioscience Engineering in the Faculty of Science and the Quantum
-
networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our
-
engage with) some of the most renowned experts in the field. For more information concerning this position, please contact Prof. Stefan Braum, email: Your profile We are looking for a candidate with
-
Are you curious, committed, and ready to shape the future of AI in biology? VIB.AI is looking for PhD candidates to start in autumn/winter 2025/26! We are especially interested in recruiting PhD
-
Are you curious, committed, and ready to shape the future of AI in biology? VIB.AI is looking for PhD candidates to start in autumn/winter 2025/26! We are especially interested in recruiting PhD
-
, Natural Sciences or related disciplines be very motivated and enthusiastic to learn and expand both computational and experimental skill set have an analytical mindset be able to summarize data extracted