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→ Apply until 27/10/2026 (DD/MM/YYYY) 23:59 (Brussels time) → Faculty of Bioscience Engineering → Department BW26 - Data analysis and mathematical modelling → AAP temporary
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Your privacy, your choice We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media, as
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match and performance analysis Teach and supervise students Collaborate with stakeholders in professional football Develop your own research agenda and profile Take one for the team Profile Doctoral
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brain stimulation, preferably TMS and/or tDCS. Expertise in electroencephalography (EEG). Experience in combining EEG with TMS is a strong asset. Proven experience in complex EEG and (f)MRI data
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reinforcement learning Support SFT, preference optimisation, and reinforcement learning workflows Build and run RL environments for tasks with verifiable outcomes, such as mathematics, code, tool-use
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industrially relevant flows involving complex geometries and non-trivial boundary conditions. The project is carried out in collaboration with IBM , providing the opportunity to work at the interface of
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for the preferred start date). Degree may be from a relevant field of study including planetary science, geophysics, geochemistry, physics/astronomy, statistics, mathematics, engineering or a related
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research group of Prof. Joachim Schouteten, Prof. Hans De Steur, and Prof. Xavier Gellynck, which specializes in agri-food marketing and supply chain management ( https://agecon.ugent.be/agri/ ). We are
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: computer science, physics, engineering, applied mathematics Your level of English allows you to discuss your topics with your colleagues and report your Findings in writing You look forward to working
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applications, going from theoretical analysis to implementation and testing on real systems Develop adaptive control and estimation schemes to support hardware implementation Collaborate closely with