Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- KU LEUVEN
- Ghent University
- University of Antwerp
- Nature Careers
- VIB
- Université Libre de Bruxelles (ULB)
- Vrije Universiteit Brussel
- Vrije Universiteit Brussel (VUB)
- BIO BASE EUROPE PILOT PLANT VZW
- Flanders Institute for Biotechnology
- Hasselt University
- IMEC
- Univeristé Libre de Bruxelles
- Université libre de Bruxelles (ULB)
- 4 more »
- « less
-
Field
-
Research Infrastructure? No Offer Description We are looking for a researcher to work on the finite element modelling of the interaction between textile materials (yarns and fabrics) and textile
-
reflectance infrared Fourier transform spectroscopy (DRIFTS) to unravel charge transfer mechanisms, active sites and intermediate molecules in the reaction pathway. Additionally, finite element theoretical
-
pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating
-
. The researcher will conduct the health economic component of this evaluation. More specifically, he/she will study the economic impact of mental health problems in Belgium (healthcare consumption, productivity
-
fields. Integrate a new measurement solution to deepen understanding of the metal 3D printing process and link with ex-situ inspection systems. Apply deep and shallow supervised learning methods
-
and characterization of chiral metal nanoclusters, as well as their applications in catalysis and biosensing. CHIRALNANOMAT's will train 13 Doctoral Candidates who will become experts in chiral
-
forms part of a new interdisciplinary research project at KU Leuven that will use explainable, adaptive and multimodal human-AI interaction methods to let generative AI spark new insights and
-
methods interest in interdisciplinary research excellent skills in English (command over Dutch or German is an additional asset) a talent for combining personal initiative and team spirit strong motivation
-
physiology, neuroscience, animal behavior, computational methods, etc.) is a plus. Candidates from non-neuroscience fields but with a keen interest in understanding the brain (e.g., physics, artificial
-
component behaviour. 3. Extend and apply existing core loss models to novel materials, leveraging insights from the MAGNIFY network. 4. Conduct a stochastic study on how strand positioning within