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epidemiology, medical statistics, psychology and clinical medicine. Together, we run various projects exploring the development of multimorbidity across the life course, with the aim to promote health and well
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at the interface of systems biology, AI, and translational medicine, with access to exceptional datasets and strong publication potential. Key Tasks and Responsibilities Apply advanced statistical and machine
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, Experience with statistical programming tools (e.g. R, Python) for data analysis, Demonstrated interest in human-nature interactions and/or sustainability topics, Familiarity with reproducible research
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analysing eye-tracking and/or ECG data, Experience with statistical programming tools (e.g. R, Python) for data analysis, Familiarity with reproducible research workflows, research data management, and/or
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, Python-language and scripting as well as Linux and HPC environments. Previous experience in model evaluation, statistical data analysis, and machine learning are seen as advantages. The position involves
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experience in model evaluation, statistical data analysis, and machine learning are seen as advantages. The position involves attending international conferences and presenting scientific or technical work in
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environment (e.g. CSC) Strong scientific writing skills Proficiency in statistical or other multivariate methods, as well as data visualization Additional qualifications: Expertise in multiomics and metabolic