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to extend the operational lifespan and reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way
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that help determine when an AI model is ready for use and when more research is needed. PhD in Epidemiology on value-of-information from validating clinical prediction models and AI Our goal: Develop value
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to blood pressure changes, electrolyte imbalances, seizures, and cardiac arrhythmias. No curative therapies are available, and current treatment remains symptomatic. Recently, we identified mitochondrial DNA
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The climate and biodiversity crises make it urgent to rethink how we manage land and water. Current land-use systems are often eroding the ecological foundations on which long-term prosperity depends. Existing
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, those materials experience a complex combination of fluid flow and interface phenomena, which dominate heat- and mass-transfer limitations. Traditionally, we reduce the complexity of the underlying models
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numerical algorithms for real-time wind field forecasting. Validate forecasting models against high-fidelity LES data and field measurements. Quantify the impact of predictive adjustments on turbine
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language model (LLM) methods to unlock information from Dutch electronic health record (EHR) free text for secondary use in research. Electronic health records contain a wealth of relevant patient
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support ESA planetary protection function on its effort to modernise current approaches with the use of new statistical models to assess biological and chemical contamination risks. The Research Fellow in
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hallmark of the disease. So far, DM1 research has focused mainly on the muscular pathology, while current knowledge about molecular and cellular processes that underlie neuromuscular disruptions in DM1 is
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will validate. You will derive model parameters from experimental imaging and use inverse modeling techniques to measure microthrombi deformation under flow. Hybrid Research: You will study wall