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on multiscale subsurface imaging using advanced geophysical imaging techniques and on investigating how subsurface structure, material composition, and geodynamic processes influence regional seismicity. Key
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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the biomechanics of current treatments for craniosynostosis. The role will use advanced approaches including computer simulation, manufacturing, imaging, sensing, and in vivo experimentation. Applicants should hold
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these skills to hardware design challenges. You thrive in multidisciplinary environments, communicate effectively across teams, and are eager to make a meaningful research impact. A PhD in LLM/AI, machine
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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer
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. Develop grant proposals to internal and external grant funding bodies. Supervise undergraduate and postgraduate students and mentor junior researchers. About You (Selection Criteria) You will have a PhD in
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apply. Selected applicants will receive detailed support in preparing the application at all stages of the process, including advice on budgets and facilities. Eligibility Applicants: Must hold a PhD at
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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an essential role in inflammatory processes. Its overexpression is associated with chronic inflammatory diseases such as Crohn's disease. XIAP thus plays a key role in modulating the NOD2 inflammatory pathway
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. Preferential factors: • Education or training in reaction engineering, microfluidics, microbiology, fluid dynamics, image analysis, or machine learning (where applicable to the specific PhD project); • Fluent