111 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Ghent University in Belgium
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
address. Where to apply Website https://academicpositions.com/ad/ghent-university/2026/doctoral-fellow-departme… Requirements Research FieldComputer scienceYears of Research Experience1 - 4 Research
-
consistency outside the training domain. This PhD research is envisioned to result in a breakthrough in the application of machine learning methods to fire engineering problems, by ensuring compatibility with
-
the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/researcher-electrical-po… Requirements Research FieldEngineeringYears
-
application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/parttime-15-postdoctoral… Requirements Research
-
machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
-
of decision making, and to the collection and analysis of field and laboratory data to test those models (see https://www.ferdinandvieider.com / for examples of past and current projects). WHAT WE ARE LOOKING
-
-guided machine learning. You are quick to assimilate information and capable of independent research. Experience in the pharmaceutical sector is an advantage You speak and write English fluently. You are
-
, eager to learn more about Flanders, Belgium and the Netherlands. Learning Dutch University Language Centre (@ Ghent University) In-Gent https://www.in-gent.be/voor-jou/nederlands Stad Gent Read more
-
and researchers, eager to learn more about Flanders, Belgium and the Netherlands. Learning Dutch University Language Centre (@ Ghent University) In-Gent https://www.in-gent.be/voor-jou/nederlands Stad
-
machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in