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ecological monitoring of invasive species. You will explore how Explainable AI (XAI) methods can efficiently interpret geospatial models' behaviour. The central aim is to explore how such techniques can
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through soil, surface water, and groundwater systems. By validating model simulations with in-situ measurements (e.g., soil moisture, groundwater levels, surface water) and geospatial datasets (e.g
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photovoltaics, wear resistance, optics, and many more. Due to their thickness often being only a few nm or even below, one major challenge in designing and improving thin film devices is characterizing
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potential follow-up care, which has knock-on effects throughout the healthcare system. However, the variation in the types of tests, the fluctuations in demand for different tests and the complexity
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, underwriting, and portfolio optimization. Despite the growing relevance of ESG in insurance, there is no widely adopted, data-driven framework that integrates ESG metrics into customer portfolio decision-making
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of Twente is looking for a highly motivated and talented PhD candidate to join our team. In this position, you will explore advanced frameworks to make complex interacting programs fault-tolerant and future
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Vacancies PhD Candidate Geospatial Risk Modelling for Climate Finance Key takeaways Effectively understanding and mitigating financial risks associated with climate change is important for
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treatment outcomes in osteoarthritis, Health Technology Assessment (HTA) is essential for ensuring efficient and sustainable healthcare. Therefore, we are looking for a PhD candidate who wants to combine
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Vacancies PhD Position in Computational Biology: Digital Twins & Disease Modeling for Precision Osteoarthritis Treatments Key takeaways Osteoarthritis (OA) is a complex disease in which multiple
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for the complexity and dynamic nature of healthcare systems and their outcomes across various levels. A highly motivated and skilled PhD candidate is needed to address crucial healthcare challenges