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about biology and interested in building new machine learning and AI to accelerate biological discoveries? Then this position is for you! Join Us! We are looking for a motivated PhD candidate to develop
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Expert Panel members. Based on these findings, you will develop realistic case scenarios that present different types and levels of uncertainty. These scenarios will be discussed with patients, clinicians
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approaches to develop predictive simulations of hydrogen behaviour in compositionally complex Fe alloys. Working closely with Tata Steel and an interdisciplinary academic team, your research will contribute
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previous education and number of years of (relevant) work experience. The amounts in the scale are based on a 38-hour working week. You will receive an 8% holiday allowance and an 8,3% end-of-year bonus. You
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morphology; analyse heat and mass transport phenomena during desublimation; develop or support modelling approaches that link experimental observations to predictive descriptions of the process; investigate
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assess the structural condition therefore enable both lighter designs and more efficient maintenance strategies. To address this challenge, the project aims to develop structural health monitoring
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collaborators, you will produce materials for these experiments and develop novel approaches for protein and RNA labeling. Working at the interface of biophysics and biochemistry, you will establish new paradigms
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biogeochemical processes that govern their behaviour. Job description The PhD candidate will develop and analyse new process-based mathematical models to improve our understanding and predictive capability
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Are you fascinated by controlling magnetic matter by femtosecond laser pulses, eager to explore the underlying physical mechanisms, and passionate to develop a generic tool to ‘print’ complex
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will be to quantify how mixing aircraft with strongly differing performance characteristics affects safety, efficiency and capacity, and to develop the metrics and models needed to make those effects