Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Ghent University
- KU LEUVEN
- University of Antwerp
- VIB
- Nature Careers
- IMEC
- Vrije Universiteit Brussel
- Université Catholique de Louvain (UCL)
- Giga Institute
- Université Libre de Bruxelles (ULB)
- Université catholique de Louvain
- Université catholique de Louvain - Campus Saint-Louis Bruxelles
- Université de Namur
- Université libre de Bruxelles (ULB)
- Flanders Institute for Biotechnology
- Hasselt University
- KU Leuven
- Royal Military Academy
- University of Leuven
- University of Liège
- University of Mons
- University of Namur
- Vrije Universiteit Brussel (VUB)
- 13 more »
- « less
-
Field
-
development of (open source) tools and algorithms for numerical simulations; o supervise PhD students conducting research in the field of this vacancy; o take responsibility for project coordination
-
27 Oct 2025 Job Information Organisation/Company Université Libre de Bruxelles (ULB) Research Field Chemistry » Organic chemistry Researcher Profile Recognised Researcher (R2) Positions Postdoc
-
, Biomedical Sciences, Bioengineering, or related fields. Enthusiasm for fundamental science and attention to detail. Motivation to work with an international team of PhD students, postdocs and technicians
-
fluid-structure interaction (FSI); - Development of techniques for deforming fluid domains, including Chimera techniques. The doctoral research needs to realize algorithmic improvements in the topics
-
postdoc position BEE2.You can apply for this job no later than November 15, 2025 via the online application tool: http://www.kuleuven.be/eapplyingforjobs/light/60343030Please provide your C.V. and a
-
related field. The ideal candidate should have knowledge and/or experience in one or several of the following areas: Artificial Intelligence/Machine Learning algorithms and architectures Cybersecurity
-
postdoc position in a dynamic and internationally recognized research environment. Supervision by Prof. Stef Lhermitte and collaboration with the Earthmapps team. Access to high-performance computing
-
at the KU Leuven, within the Biomed lab (https://biomed-kuleuven.web.app/research ) to develop new trustworthy AI algorithms for fracture detection based on novel photon counting CT technology. Particularly
-
with custom or commercial electronics, optics, mechanics, fluidics, and both embedded and application-specific software and algorithms. Our goal is to validate these systems in real-world environments
-
engineering or mathematical engineering Good understanding of statistics and machine/deep learning algorithms Interest in Biomedical data science Excellent programming skills in Python Proficient English, both