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of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after
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states, study their persistence and transitions, and examine whether such attractor states predict clinically relevant outcomes such as relapse, comorbidity burden, symptom severity, and functioning. In
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capture disease progression more sensitively than conventional clinical assessments. To achieve this, you will work with unique longitudinal datasets from the ProPark study and the Personalized Parkinson
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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Programme is aimed at developing your transferable, discipline-related and research skills. The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
transferable, discipline-related and research skills. The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be
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, insulation, durability, maintenance, user perception and life cycle impact. Develop design guidelines for circular, bio-based and biodiversity-supporting façade solutions. The PhD will result in validated
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at developing your transferable, discipline-related and research skills. The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible
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27 Jun 2026 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Agricultural sciences Cultural studies Researcher Profile First Stage Researcher (R1) Application
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battery systems in grid applications. As a result, there is a pressing need for rigorous research to develop integration strategies, modeling approaches, and regulatory frameworks that enable reliable and