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(Artificial Intelligence and Epidemic Modeling to Prepare Hospitals for the Next Respiratory Pathogen with Pandemic Potential). Project Overview The COVID-19 pandemic exposed critical gaps in our ability
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With support from its “Special Research Fund” (BOF) Ghent University grants PhD “sandwich” scholarships to promising PhD students from Global South countries who wish to carry out half of their PhD research at Ghent University ('North') and half at a university in the Global South ('South')....
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team is looking for a PhD student for the project “Cities as breeding grounds: legal change in financial law (ca. 1620-ca. 1750)”. You will analyse the development of rules governing financial
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. The candidate will conduct research in archives. Based on an analysis of source material, the strategies developed to reconcile the interests of multiple bondholders will be examined. Specific attention will be
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of the Flemish VLAIO Flux50 SBO-project "NudgeFlow: The next generation of residential ventilation - tweaking the natural air flow with distributed components", we are offering a PhD position focused on developing
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partially filled containers – is a major challenge in aerospace, transport, and energy systems, where it can compromise stability and safety. The PhD will focus on developing low-order models of sloshing
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on developing data-driven, low-order aerodynamic models of VPPs, updated in real time with experimental data, and using them to design control strategies for flight stability and performance optimization
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Researcher, you will play a key role in developing next-generation quantum sensors based on photonic technologies, with applications spanning high-tech industries, space, and defense. Your work will focus
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to assess the required effort to mount reverse engineering and tampering attacks; integration of software protection techniques in industrial development life cycles. For further information on the research
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics