Sort by
Refine Your Search
-
Listed
-
Employer
- Ghent University
- KU LEUVEN
- VIB
- University of Antwerp
- Université libre de Bruxelles (ULB)
- Nature Careers
- Vrije Universiteit Brussel
- IMEC
- Vrije Universiteit Brussel (VUB)
- Université Libre de Bruxelles
- European Research Council (ERC)
- Flanders Institute for Biotechnology
- Hewlett Packard Enterprise
- Institute of Tropical Medicine (ITM)
- ULiege
- University of Liège (ULiège)
- Université de Namur
- 7 more »
- « less
-
Field
-
courses in English, you will be given the opportunity to learn English to the required standard. Selection process You are being encouraged to get in contact with the chair of the search committee Prof. dr
-
analog electronic accelerators. You’ll collaborate closely with a multidisciplinary team of machine learning experts, software developers, computer scientists, fabrication specialists, and experimentalists
-
) Important: do NOT send your 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
-
question regarding the online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/assistant
-
be asked to provide, ahead of the interview, the details of referees to be contacted by phone. Selection process For more information please contact Prof. dr. Elise Muir, mail: elise.muir@kuleuven.be
-
vascular) complications in patients with failing Fontan circulation. The Fontan circulation is a life-saving surgical procedure for individuals born with only one functional heart chamber leading
-
Design Lab – works on modelling, control and optimization for mechatronic systems, industrial robots and processes (https://dynamics.ugent.be ). We are part of the department of Electromechanical, Systems
-
European cities. The project explicitly embraces a broad AI perspective, including (but not limited to): machine learning and statistical learning computer vision and sensor-based data analysis natural
-
manufacturing,...). In this PhD, you will contribute to research that explores how artificial intelligence can support and automate parts of the opto-mechanical design process, enabling faster, more robust, and
-
of industrial pre-treatment processes for hemp and flax through Life Cycle Assessment (LCA). It compares newly developed, more sustainable pre-treatment methods with current state-of-the-art processes. Your task