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Field
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Job description Musculoskeletal disorders, affecting muscles, bones, joints, and associated tissues, are the leading cause of disability worldwide. Musculoskeletal models can be used for prevention
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where trustworthiness is essential. Today’s explainability methods often do not provide meaningful decision support and, in some cases, can even leak sensitive training data. Models are especially
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modeling, led by five team members. The current PhD position focuses on developing surveys and conducting statistical analysis of the unique microdata collected from households and firms across three
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PCM composites the RecyWax+ project combines multi-physics modelling approaches and physical experimentation of the thermal properties of the PCM composite. Throughout, theory is validated by synthesis
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Your job Are you fascinated by using mathematics to solve fundamental questions in ecology? Do you thrive on translating abstract models into biological insight? If so, this PhD opportunity could be
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/ML) models can offer a solution here. This project aims to determine to what extent AI/ML models based on electrochemical sensor data are able to identify and quantify local forms of corrosion. We
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critical role. The research will combine: Numerical modelling: develop and validate models to describe transport and separation mechanisms Experimental work: Design and operate and experimental setup using
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one
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unprecedented real-time visualisation of these processes, yet systematic investigation across diverse rock types and integration with predictive models remains lacking. In this PhD study, you will be performing
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interdisciplinary research team studying how aging affects key cognitive domains such as memory, attention, and decision making, using advanced experimental, neuroimaging and AI modeling techniques. Both projects