40 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at University of Southern Denmark
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instance. To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above. Please indicate the contact details of two academic referees on the online
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Job Description The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark
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cross-European research project FOOD-FRAMES. The FOOD-FRAMES project explores how the food information environment across nine European countries affects sustainable food choices, often hindering
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. The pharmacoepidemiological research group utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations. The environmental medicine group studies
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data (e.g., from Danish health registers) using advanced statistical methods (e.g., regression modelling, time series modelling, latent class modelling). It is expected to contribute to scientific
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behavioral data and present results at conferences and in journal publications. This project is theoretically and technically sophisticated and a candidate with strong analytic and quantitative skills
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EEG and behavioral data and present results at conferences and in journal publications. This project is theoretically and technically sophisticated and a candidate with a solid understanding of color
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, OpenPNM, LAMMPS, or equivalent) and/or experimental design and data analysis You demonstrate strong teamwork, communication, and independent research skills You are proficient in English (spoken and written
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orthopaedic surgery. This role combines medical imaging (ultrasound and MRI), computer-assisted surgical technologies, and the study of how bones and joints move. The targeted starting date is March 1, 2026
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to contribute actively to outreach activities, such as blog writing, working with the holding institutions and more. For further information about the position contact professor Lars Boje Mortensen on labo@sdu.dk