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existing methods to address such risks, and on how to achieve a better use and exchange of existing protocols and data. The project includes the use of Digital Twins to simulate cascading disaster effects
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simulations, complex systems analysis or other data-driven methods. Requirements The candidate based at CWI will have either a computer science or mathematics background, with a strong affinity for energy
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one
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different microbial strains and fermentation conditions to enhance protein yield, nutritional value, and techno-functional properties. Characterize the obtained ingredients in terms of composition (protein
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of parameters that improve process performance and material quality. Secondly, different machine learning strategies based on traditional supervised learning techniques (e.g. random forest (RF
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the lead on the modelling side. Your Role Develop and analyse spatial percolation models and related techniques to explore how pathogens spread—or fail to spread—across plant communities with different
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have PhD students of 18 different nationalities in our programme. Course-specific, integrated German language courses No Course-specific, integrated English language courses No Tuition fees per semester
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mentioned in points III.2.3. to III.2.5., which may be delivered in other digital formats. Regarding the documents mentioned in point III.2.4., as an alternative to delivering a copy, the CV can also indicate
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spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication
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evaluating trade-offs under different environmental conditions, such as changing weather patterns, fluctuating energy costs, or variations in occupants’ schedules. Typically, the initial priority settings