46 associate-professor-computer-"https:"-"https:"-"https:"-"https:" positions at Ghent University
Sort by
Refine Your Search
-
: Must have a ZAP-affiliation. Copromoters can also be guest professor or postdoctoral researcher. Third Parties (companies, university colleges, strategic research centers, foreign partners, ...) can be
-
, ...). Support from the Industrial Liaison Network In cooperation with the TechTransfer Office, the Industrial Liaison Network facilitates cooperation between the Ghent University Association and industry. You
-
laboratory analyses (such as grain-size analysis, magnetic susceptibility, loss-on-ignition, micromorphology). This will help clarify the environmental context associated with site use and abandonment, and
-
Department of Organic and Macromolecular Chemistry of Ghent University. In addition, for part of the experimental program, collaboration with ETH Zurich in Switzerland is foreseen. The project will start as
-
. This programme, managed by the European Research Council (ERC) provides a distinctive funding mechanism devoted to scientific excellence for all scientific fields. The following types of grants are available
-
temporary leave or unpaid leave for 1 year. You are entitled to return to your job after the leave ends. You relinquish any secondary activity and associated remuneration. You have not previously received
-
of the UNPACK team, you will be intensively working together in a team of 8 researchers and 4 professors. You will share your data and analyses with your co-researchers and supervisors, and engage in
-
? Send your CV, copy of your diploma and a motivation letter to Professor Bert Devriendt (b.devriendt@ugent.be ) before the 28th of February 2026. We advise to submit your application as soon as possible
-
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
-
working together in a team of 8 researchers and 4 professors. You will share your data and analyses with your co-researchers and supervisors, and engage in extensive collaborative (interdisciplinary