Sort by
Refine Your Search
-
Engineering » Computer engineering Engineering » Civil engineering Geosciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Belgium Application Deadline 31 Mar 2026 - 12:00
-
. The position is within the Cosys-Lab research group, under supervision of prof. Jan Steckel and prof. Walter Daems. Position You will work actively on the preparation and defence of a PhD thesis that is part of
-
interpersonal skills, both verbal and written. We offer a 4-year PhD research position in a stimulating international work environment at one of the top-ranked universities in Europe. KU Leuven is a research
-
biology in human and animal models. Doing a PhD at our Center Embedded within both VIB and KU Leuven, we offer a unique PhD experience with access to state-of-the-art facilities, expertise, and training
-
processing, embedded systems, machine learning, and networked communication. Each PhD position corresponds to a dedicated research topic within the consortium. All doctoral researchers will benefit from joint
-
methodologies. The final aim is to build a methodological and scientific foundation for a new type of wireless infrastructure that is open, adaptable, energy-conscious, and architecturally embedded in the city
-
23 Oct 2025 Job Information Organisation/Company Flanders Institute for Biotechnology Research Field Neurosciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
-
4-year PhD fellowship (€2460/month) is offered in Brussels in the Engineering of Molecular NanoSystems (EMNS) laboratory at the Université libre de Bruxelles (ULB) for a highly motivated Chemist to
-
Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams, Saelens
-
block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having