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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and
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collide, condense and evaporate. Guided by the results from the field campaigns, a new Microphysics Informed Large-Eddy-Simulation (MiLES) model will be developed. The tested and verified MiLES will be
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Do you think that quantum computing can open genuinely new routes for analysing biological data? Are you excited to work where bioinformatics, molecular modelling and quantum algorithms meet? Join
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fundamental IC innovation with hands-on experimental work. You will publish your findings at leading solid-state circuits and sensor conferences and in journals, and co-supervise MSc and PhD candidates. You
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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
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to the research project. Your qualities Ideally, your eligibility is exemplified by: a PhD in mathematics; prior experience in research high-dimensional probability theory (concentration inequalities, chaining
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element modeling, and multi-scale biomechanics is most important, while experience applying these methods to cardiovascular problems is a plus. Required qualifications A PhD in mechanical engineering
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In collaboration with Utrecht University, you will quantify fire dynamics and its impacts on vegetation and climate at regional scales, combining global vegetation models with state-of-the-art
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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental
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PhD in Chemical Engineering or a closely related discipline; Demonstrated experience with mathematical modelling and simulation; experience with modelling electrochemical systems is considered