99 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" positions at University of Southern Denmark
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portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from large real-world register data to guide the conduct of further studies according
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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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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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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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of upstream and downstream processes. Integrate techno-economic and resource efficiency data into environmental modelling Analyse sustainability trade-offs, circularity potentials, and scenario-based system
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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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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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Applicants should have strong experience in one or more of the following overlapping areas: Analog and mixed-signal IC design: amplifiers, references, data converters, sensor interfaces, and power management
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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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, photonics, and neuromorphic computing, and plays a central role in SDU’s ambition to be a national and European hub for semiconductor and chip innovation. Further information For further information about the