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, Natural Sciences or related disciplines be very motivated and enthusiastic to learn and expand both computational and experimental skill set have an analytical mindset be able to summarize data extracted
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Health Sciences is looking for a full-time (100%) doctoral scholarship holder in the field of molecular exercise physiology. Research project The PhD research project is conducted in collaboration with
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MSc in Systems Biology, Molecular Biology, Natural Sciences or related disciplines be very motivated and enthusiastic to learn and expand both computational and experimental skill set have analytical
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on real-world medical data, in close collaboration with a team of statisticians and machine learning researchers. Job profile - You have a master's degree and a strong background in statistical data
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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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, these robots are easier to interact with and have many applications in entertainment, services, education, collaborative robotics and therapy You will work on the technical aspects of social robots, including
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. Digital Extraction from Historical Taxonomic Literature Application of OCR and machine learning algorithms to digitize printed and handwritten documents; Linking specimen mentions in literature to digital
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, this research will offer unique knowledge for tailoring intervention and prevention programs in several youth contexts. This project is proudly supported by the youth platform JEZ!, and is a collaboration between
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at national and international conferences. You may be asked to teach exercise sessions (in English) for a course taught by the department staff, or to help in the supervision of master’s theses. Your ultimate