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the research is primarily focused on tribology and its applications. The research group currently consists of about 40 researchers and doctoral students and is one of the leading tribology research groups in
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Mechanisms and models of immune suppression and metastasis in cancer A postdoctoral research position supported by long-term federal funding is available in the laboratory of Marcus Ruscetti, Ph.D
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of the bidirectional relationship between the gut microbiota and menopause, the current evidence base is sparse and inconsistent. Many studies to date have compared gut microbial profiles of menopausal women with those
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technologies. This PhD explores how ultrasound aligns particles and controls crystallisation to create materials with tailored anisotropy. Using experimental acoustics, modelling, and advanced characterisation
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afterthoughts. Despite advances in modelling, simulation, and data-driven optimisation, there is currently limited methodological support for systematically translating high-level performance objectives
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high-fidelity models of PEDs/LCTs and implementing them in EMTP-type dynamic simulations to understand the distribution of fault currents during different types of faults in LV networks Understand
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for all. This PhD project aims to develop a robust numerical modelling framework to improve understanding and prediction of heat and fluid flow in deep geothermal reservoirs. Using geological, hydrological
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a leading cause of maternal and neonatal complications worldwide, yet current diagnostic tools struggle to reliably confirm the disease. This project will use advanced data analysis and modelling
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Time Series Analysis Graphical models Computational statistics We welcome applications from candidates with an educational background in fields such as: Mathematical Statistics Machine Learning
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regulates inflammation, cell death and infection outcome by using and further developing a human stem-cell-based model system recently established in the group. We are looking for a highly motivated PhD