Sort by
Refine Your Search
-
profile PhD in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related fieldStrong research track record, preferably with publications in leading AI and Computer Vision
-
-doctoral candidates willing to write research proposals on the functional morphology of organisms via dynamic X-ray imaging. Position X-ray imaging is a powerful method for analysing functional morphology
-
chemists, materials scientists, and environmental engineers, as well as industrial and governmental stakeholders. The position includes access to state-of-the-art imaging infrastructure, including high-end
-
5 Feb 2026 Job Information Organisation/Company Université catholique de Louvain Department Louvain Institute of Biomolecular Science and Technology (LIBST) Research Field Other Researcher Profile
-
of shape modelling and contribute to attracting external funding. You will assist in the supervision of PhD students. Profile You hold a PhD in physics, mathematics, engineering or computer science from a
-
of Biomolecular Science and Technology (LIBST), at the University of Louvain in Louvain-la-Neuve, Belgium. Join us in advancing scientific understanding and contributing to groundbreaking research in this exciting
-
maximum of 12 months) will be provided. Profile You hold a PhD in Biology, Physics, Mechanical Engineering, or equivalent (or you will have obtained it by the time you start work). You have a strong
-
lab. In addition, you will assist in training new researchers within the research group. You will provide support in processing data generated from 3D motion capture techniques and medical imaging. You
-
candidates You hold a PhD in Engineering, AI, Data Science, or related fields with a high relevance to the project activities. You bring significant prior relevant experience, such as: Designed complex data
-
Candidates must hold a PhD in Mathematical Engineering or Applied Mathematics (or equivalent) Candidates should have a solid background in numerical methods for differential equations, simulation of stochastic