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excellent predisposition to learn how to work with these data is a basic requirement). What we can offer you: The PhD appointment is full-time for 4 years (contingent on a positive evaluation after the first
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interdisciplinary research team, focusing on human-robot interaction, unconventional robotics, cognitive systems and machine learning. You will have access to the full facilities of IDLab, including high-performance
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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
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challenge remains: integrating large genetic constructs, such as transgenes (e.g., gfp), into the genome. This PhD project aims to overcome this final barrier by thoroughly analyzing the DNA repair mechanisms
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policy choices on the overall carbon emissions of the stock. The aim of the research is to obtain a PhD diploma. You will be part of the UGent Building Physics research group (Faculty of Engineering and
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at national and international conferences. You may be asked to teach exercise sessions (in English) for a course taught by the department staff, or to help in the supervision of master’s theses. Your ultimate
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collaboration with other PhD candidates and researchers with medical and engineering background, perform innovative research on the topic of surgical video analysis, with the goal of developing deep machine
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at Ghent University from September 2025. The project aims to develop a minimally to non-invasive treatment for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning
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these resources. By using data integration, AI, and international platforms like GBIF and LifeWatch, the project supports taxonomic advancement. This PhD research will develop bioinformatics tools to find type