196 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" 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
- Vrije Universiteit Brussel
- Vrije Universiteit Brussel (VUB)
- IMEC
- Université Libre de Bruxelles
- Université de Namur
- European Commission
- European Research Council (ERC)
- Flanders Institute for Biotechnology
- Giga Institute - University of Liege
- Hasselt University
- Institute of Tropical Medicine (ITM)
- KU Leuven
- Louvain Drug Research Institute - Université catholique de Louvain
- Royal Observatory of Belgium - Dpt Reference Systems
- Université libre de Bruxelles (ULB)
- VITO
- 12 more »
- « less
-
Field
-
the test engineering team on silicon characterization and validation Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/dft-architect Requirements Research
-
address. Where to apply Website https://academicpositions.com/ad/ghent-university/2026/doctoral-fellow-departme… Requirements Research FieldComputer scienceYears of Research Experience1 - 4 Research
-
activities, I have gathered experience with machine/deep learning, and can demonstrate a strong affinity with these fields. Prior experience with computer vision is a plus. I am proficient in Python and am
-
and automating the acquisition of high-quality training datasets for machine learning models. Provide training to students on new technologies, protocols, and best practices. Support grant applications
-
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
-
processes in the team (e.g., setting goals, coaching, evaluation). You create a strong team atmosphere and foster opportunities for knowledge sharing and cross‑learning. You interact closely with your peers
-
LanguagesENGLISHLevelExcellent Additional Information Work Location(s) Number of offers available1Company/InstituteUniversity of NamurCountryBelgiumGeofield Contact City Namur Website http://guirkinger.com/ Street Rue de
-
experimental workflows for generating and automating the acquisition of high-quality training datasets for machine learning models. Provide training to students on new technologies, protocols, and best practices
-
possible How to apply? Please complete the online application procedure (https://jobs.vib.be/apply/131864 ) and include: a detailed CV, including concrete experience a motivation letter describing your