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Requirements The Odysseus programme is open to two types of candidates: Type I: Researchers who are internationally recognized as pioneers in their field and who have an appointment of minimum 80
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the interactions between the ecological processes, composition, and structure of terrestrial ecosystems, with a clear link to management and policy. ForNaLab is actively involved in numerous national and
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project on geographic patterns of crimes and their environmental determinants, developing and employing (new) GeoAI and quantitative research methods . More specifically, the candidate will focus on 1
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December 2, 5pm (02/12/2024). Previously, Ghent University (the rector) had to sign a document to confirm the researcher's postdoctoral seniority. Since last year we have been using a new working method
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their specific disciplines while gaining practical knowledge across the various fields of knowledge of the network. This training program is supported by an excellent team of partners who are world leaders in
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) PhD degree at Ghent University) can apply. Exchange students cannot apply for this scholarship; This program is meant for students at the beginning of their PhD. To a limited extent, PhD students
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To stimulate and support the bottom-up cooperation between the ENLIGHT university communities, ENLIGHT launched a first set of calls for joint initiatives in April 2024. A second set of calls was launched in April 2025. Each call targets joint proposals for specific types of actions involving at...
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known for its research on thermal energy. Both experimental and numerical techniques are used in the analysis, design and optimization, resulting in a unique position in the field. The overall goal is to
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. The PhD fellow will (1) conduct terrestrial laser scanning fieldwork across a range of ecosystems; (2) contribute to the development of new methods to analyse multitemporal 3D data from terrestrial laser
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learning algorithms. The two PhD students hired through this vacancy will primarily contribute to the development of debiased learning methods and assumption-lean modeling tools, and their application