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process. This project offers a unique opportunity to work at the intersection of machine learning and control theory. You will develop rigorous theory and scalable computational methods for certifying
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: designing, performing and interpreting experiments for simultaneous texturization and flavor generation in PBMAs; contributing to the development and optimization of analytical methods; publishing your
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imagers, leaf-level validation sensors, and modelling tools to support interpretation of canopy-scale photosynthesis. This project is part of the GreenControl programme which is funded by the Dutch Research
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cardiovascular medicine. Mechanical Circulatory Support (MCS) technologies offer life-saving potential, yet optimal patient selection, timing, and device strategies require deeper mechanistic and clinical insight
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Utrecht, CWI, Dutch municipalities, DSOs, and other societal/industry partners. The project brings together expertise in energy informatics, optimization, data science, social sciences, and governance
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Computational de novo design of VHH and scFv binders to blood coagulation factors such as factor Xa and prothrombin. Wet lab production and screening of the aforementioned binders. Optimization
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by the idea
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
) Application Deadline 30 Aug 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Sanquin Blood Supply Foundation uniquely combines medical, diagnostic, blood
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
: Model development: + Characterizing the key performance differences between current and future aircraft models + Evaluating how these differences affect fleet assignment and network planning + Optimizing