115 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" positions at Ghent University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
about this vacancy, please contact Prof. Kim Van Tittelboom (kim.vantittelboom@ugent.be , +32(0)9/264 55 40). Where to apply Website https://academicpositions.com/ad/ghent-university/2025/doctoral-fellow
-
online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2025/post-doctoral-researcher… Requirements
-
to contribute their expertise, experience and interests, while jointly shaping an integrated research approach that supports mutual learning, forward thinking, participatory research practices. Please consider
-
supervise research projects and acquire the necessary funds from competitive research funding channels: you have demonstrable experience in writing grant proposals; having an adequate understanding
-
for this position. For more information about this vacancy, please contact Dr. Ir. Jordy Motte (jordy.motte@ugent.be ) or Prof Pieter Nachtergaele (Pieter.Nachtergaele@UGent.be ). Where to apply Website https
-
, 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://academicpositions.com/ad
-
encouraged to apply for this position. For more information about this vacancy, please contact prof. Nele De Belie (nele.debelie@ugent.be ). Where to apply Website https://academicpositions.com/ad/ghent
-
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
-
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
-
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