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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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essential. The research focuses on developing strategies to control the temperature, geometry and composition of the melt pool, with the aim of achieving defect-free production of FGMs. Such high-performance
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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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developed simulation models in open-source toolboxes such as OpenFAST. For this function, our Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base.
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The Faculteit Geneeskunde en Farmacie, Department Basis (bio)-medische wetenschappen, Research Group Genetics Reproduction and Development is looking for a PhD-student with a doctoral grant. More
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? Then you might be the PhD candidate we are looking for! Join ANTICIPATE (Artificial Intelligence and Epidemic Modeling to Prepare Hospitals for the Next Respiratory Pathogen with Pandemic Potential), a
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data through advanced ex-situ measurement technologies. The group’s ambition is to develop a robust framework for capturing high-quality data from their in-house hybrid additive-subtractive research
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-house database of experimental real-world data enabling large-scale validation of developed algorithms. Wind turbine drivetrains are critical components, and their failures can lead to significant
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consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based