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: Experience with control of flexible-link robots. Experience with modelling of flexible-link robots. Experience within model-based control for robotics. Experience in implementing real-time control systems
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, clinics and regulation) Publish research findings in peer-reviewed journals and present at international conferences Qualifications: As a formal qualification, you must hold a PhD degree (or equivalent) in
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the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with
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FTIR, EPR, XPS, Raman) and DFT-based electronic structure analysis (in collaboration) to elucidate structure–activity relationships. Analyze reaction products, selectivity, and mass balance for both
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calculations (such as with PHREEQC or a similar code). We are running several projects in parallel, ranging from fundamental investigations of mineral-water-gas properties, through developing predictive models
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models Tough bio-inks for surgical procedures We are looking for candidates with a high degree of independence and a strong drive for scientific excellence. These positions provide excellent opportunities
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areas such as infection and inflammation, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a
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consortium. As a formal qualification, you must hold a PhD degree (or equivalent). Other qualifications and competences include: Experience with mathematical modelling Experience with toxicology Experience
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writing scientific papers. The developed models will be tested on data from energy investment models, as well as transport infrastructure problems. We will be an academic team of three PhD students and four
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programming and ease with formal thinking are prerequisites. The project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial