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Field
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-driven modelling and numerical mathematics leading to computationally fast methods State-of-X (where X is charge, health and/or function) estimation at the pack level. This requires developing
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-driven workload estimation, intelligent release planning, and explainable decision support. The PhD will operate across two worlds: The University of Twente — advancing scientific models, algorithms, and
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of everyday life. This project aims to change that by developing AI-driven methods to assess wellbeing through video-based sentiment analyses. As a PhD student, you will develop and refine machine learning
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of activation. This project aims to close this gap by developing methods to identify malicious domains closer to their inception, as soon as indicators of compromise surface. Building on our prior work using
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19 Dec 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Informatics Computer science » Programming Engineering » Computer
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Simulation Methods including scientific data processing and databases, software applications including human computer interface, support for science operation centres and downstream applications; Supporting
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mathematics leading to computationally fast methods State-of-X (where X is charge, health and/or function) estimation at the pack level. This requires developing computationally efficient algorithms for state
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within hours of activation. This project aims to close this gap by developing methods to identify malicious domains closer to their inception, as soon as indicators of compromise surface. Building on our
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, and the Netherlands. Both PhD candidates will employ advanced econometric methods of causal inference and draw on microeconomic theory to guide their analyses of social and health insurance policy and
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, estimation and optimisation techniques and tools, and the technology development of GNC sensors with a focus on vision-based navigation and hybrid navigation concepts. Candidates interested are encouraged