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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
substantial opportunity to tailor activities based on individual interests (e.g., conduct of medication and/or non-medication clinical trials, analysis of longitudinal data, etc.). Examples of things a
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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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molecular genetics and biochemistry to work on projects related to precision diagnostics for diabetes. Research will be focused on generating large maps of variant effects using disease relevant assays and
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discussions and team meetings Taking over project responsibility Collaborating closely within an interdisciplinary research team Sincere interest in analysis of large-scale data – we can provide guidance Your
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for analysis of health record data for patient diagnosis and outcome prediction. Perform large-scale querying and analysis of clinical health record databases. Engage with clinical collaborators, to place the
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. Applicants seeking further information are invited to contact Associate Professor Florin Musat (florin.musat@bio.au.dk) . Who we are The successful candidate will be employed by the Department of Biology at
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2 Apr 2026 Job Information Organisation/Company Göteborgs Universitet, Institution för kemi och molekylärbiologi Research Field Chemistry » Analytical chemistry Researcher Profile First Stage
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. Applicants seeking further information are invited to contact Associate Professor Florin Musat (florin.musat@bio.au.dk) . Who we are The successful candidate will be employed by the Department of Biology at
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(e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in