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(Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be considered at junior or more senior levels assuming relevant experience in
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researcher who is passionate about developing automated systems for microbiological research. The ideal candidate has: An MSc degree in bioengineering, biotechnology, microbiology, computer science, mechanical
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for wind turbines, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime consumption while guaranteeing optimal power production
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for Surgical AI (Faculty of Medicine and Health Sciences, Department of Human Structure and Repair), in collaboration with ORSI Innotech, we are looking for a motivated doctoral fellow. YOUR JOB For our
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for Emotion and Teenage Health Everyday). In recent years, stress-related symptoms such as anxiety and depression have surged among adolescents, raising urgent questions about how to better support adolescent