198 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs in Belgium
Sort by
Refine Your Search
-
Listed
-
Employer
- Ghent University
- KU LEUVEN
- VIB
- University of Liège (ULiège)
- University of Antwerp
- Nature Careers
- IMEC
- Vrije Universiteit Brussel
- Vrije Universiteit Brussel (VUB)
- ESHRE - European Society of Human Reproduction and Embryology
- Université Libre de Bruxelles
- European Commission
- European Research Council (ERC)
- Flanders Institute for Biotechnology
- Giga Institute - University of Liege
- Hasselt University
- Louvain Drug Research Institute - Université catholique de Louvain
- Royal Observatory of Belgium - Dpt Reference Systems
- Université Catholique de Louvain (UCL)
- Université de Namur
- Université libre de Bruxelles (ULB)
- VITO
- 12 more »
- « less
-
Field
-
to ensure the learning of the essential basic concepts of fundamental immunology in the second year, as well as the knowledge and understanding of the host–pathogen relationship in the third year of
-
. Your core research tasks include: Developing advanced MBS/EHD models for drivetrain systems, incorporating transient tribological changes. Creating machine-learning-based surrogate models to enable rapid
-
-structure interaction (FSI) with focus on the fluid mechanics. We couple computational fluid dynamics (CFD) to a structural solver and/or a controller for the detailed simulation of a machine. We develop
-
to collaborate with other research groups. The time to apply and improve your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical
-
, concepts, formats, scripts, visuals, subtitles, and workflow. You experiment (and learn) with tools to produce faster and better, without losing the brand style. Content planning and monitoring You develop
-
information, please contact Prof. Ruth Heying, tel.: +3216340638, mail: ruth.heying@uzleuven.be or Prof. Sarah Thomis, mail: sarah.thomis@uzleuven.be Where to apply Website https://www.kuleuven.be/personeel
-
application by email, but apply online. Do you have a question regarding the online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https
-
natural and human disturbances through climate-smart forestry startegies, based on observations and predictive models. Where to apply Website https://unimol.concorsismart.it/ Requirements Additional
-
address. Where to apply Website https://academicpositions.com/ad/ghent-university/2026/doctoral-fellow-departme… Requirements Research FieldComputer scienceYears of Research Experience1 - 4 Research
-
: You will teach courses in the BSc and MSc programmes in geography and will also offer courses for other programmes in the faculty that require GIS skills (e.g. MSc Oceans & Lakes, MSc Biology, MSc Urban