447 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions in Belgium
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Ghent University
- KU LEUVEN
- VIB
- University of Antwerp
- Nature Careers
- The Belgian Nuclear Research Centre
- Vrije Universiteit Brussel
- University of Liège (ULiège)
- Vrije Universiteit Brussel (VUB)
- IMEC
- Université de Namur
- Université Catholique de Louvain (UCLouvain)
- Université catholique de Louvain
- Flanders Institute for Biotechnology
- Giga Institute - University of Liege
- KU Leuven
- Université Libre de Bruxelles
- Bio Base Europe Pilot Plant
- European Commission
- European Research Council (ERC)
- Hasselt University
- IRIBHM-ULB
- Lafontaine Lab - Université libre de Bruxelles
- Louvain Drug Research Institute - Université catholique de Louvain
- Royal Observatory of Belgium - Dpt Reference Systems
- University of Leuven
- University of Liege
- University of Liège
- University of Louvain (Louvain-la-Neuve)
- Université de Liège
- Université libre de Bruxelles (ULB)
- Université libre de Bruxelles - CeSCuP
- VITO
- VUB Vrije Universiteit Brussel
- Vlaams Instituut voor de Zee
- 25 more »
- « less
-
Field
-
physical principles into the learning process to maintain physical consistency outside the training domain. This PhD research is envisioned to result in a breakthrough in the application of machine learning
-
. More concretely your work package, for the preparation of a doctorate, contains: Shape the future of immersive visual technologies through optical, computational, and machine‑learning innovation. We
-
defence of a PhD thesis focusing on machine learning-based forecasting of renewable energy production, with a particular focus on wind energy. The research will be conducted within the VLAIO ICON NEXT-WIND
-
within the CVAMO Flanders Make Lab at Ghent University. The project focuses on developing machine learning models to predict manufacturability and manufacturing effort directly from CAD geometry
-
professors, 2 postdoc researchers, and about 20 PhD students. The research for these PhD positions will be conducted in the System Software team, headed by prof. Bjorn De Sutter (https://users.elis.ugent.be
-
approach, combining machine-learning–enhanced text-as-data analysis with qualitative discourse analysis. The project aims to produce a set of high-quality scholarly outputs, including peer-reviewed journal
-
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
-
fully funded PhD position in machine learning, AI, and data science for public health within the Electronics & Informatics Department (ETRO) of Vrije Universiteit Brussel (VUB). The PhD is embedded in
-
multiple symbolic fields, including official political discourse, academic debates and selected cultural outputs. Methodologically, it adopts a mixed-methods approach, combining machine-learning–enhanced
-
, incorporating transient tribological changes. Creating machine-learning-based surrogate models to enable rapid efficiency and lifetime predictions under realistic operating conditions. Validating the developed