215 associate-professor-computer "https:" "https:" "https:" "https:" uni jobs in Belgium
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: 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
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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
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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 extensive collaborative (interdisciplinary
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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
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, ...). 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
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paid position in a research institution (as post-doctoral fellow, researcher, professor, for example) at the time of the planned visit. We offer facilities to conduct your research at the University
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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
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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
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? 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
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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