83 data-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Southern Denmark
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research environment and supervisor team with expertise in pharmacoepidemiology, pediatrics and child and adolescent psychiatry. We combine clinical perspectives and data sources with advanced population
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theoretically. Further information can be obtained in the department’s qualification guidelines. Successful candidates will be expected to teach and supervise students in our business administration programs
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tasks include planning, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, focusing on women’s short- and long-term health outcomes within
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Professor in AI-driven patient stratification and microbiome-based interventions (combined position)
data Explorative Network) , Odense University Hospital (OUH), respectively. The position is vacant as soon as possible, and the two 50% positions are considered as one entity (= full-time). Job
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at bachelor level and specialized graduate courses in Political Science. For further information, please contact Associate Professor Matthias Döring, mdoering@sam.sdu.dk . Application Appointment
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we expect: Qualifications The candidate must have a PhD degree at the time of employment. We value candidates who combine strong experimental skills with an ability to integrate data-driven approaches
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collaboration with Odense University Hospital ensures excellent possibilities for translational research. Information about the department and contact details to professors leading relevant research groups can be
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Intelligence, Data Science, Robotics or any other relevant field, prior to receiving admission into this PhD program, i.e., we accept applications from candidates expecting to finalize their studies within
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. You will also spend 3 months at Georgia Tech/Emory University (USA), working on machine learning and data benchmarking. Work description The selected PhD student will be responsible for the full
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degree or equivalent within Public Health, Medicine, Data Science or other fields related to Epidemiology or Environmental Medicine. The ideal candidate has prior experience in working with health data, is