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in the Biostatistics and Modelling Domain (BSMD) of SSHSPH. Researchers with existing research activities applying statistical methods in cancer, epidemiological studies, health promotion, physical
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education? Apply today! War Eagle! Minimum Qualifications Minimum Qualifications Level I: Ph.D. degree in bioinformatics, biostatistics, computational biology, computer science, genetics/genomics, or other
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large complex health systems and their health technologies. • The qualified candidate(s) will have training in a relevant discipline (i.e., Epidemiology, Statistics, Biostatistics, Public Health or a
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, health and society. Integreat draws on the research strengths of researchers and students from the departments of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and
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prediction modelling providing ample scope for extending your research portfolio in these areas. You must have a PhD (or near to completion) in a relevant subject area if either epidemiology, biostatistics
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, Biostatistics, Public Health or a related field as long as the candidate has a strong foundation in statistics). • Demonstrated skills in data management and programming using statistical packages (SAS and SQL
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necessary. Contributing to data pipeline and administration, which may include data clean, linkage, and quality control. Candidates should have: PhD in a relevant area (e.g. epidemiology, biostatistics
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relevant area (e.g. epidemiology, biostatistics, environmental health). Expertise in behavioural epidemiology (particularly in physical activity and/or diet) or environmental epidemiology. A proven track
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Background We are seeking to appoint an experienced systematic reviewer to join our ambitious and growing Biostatistics, Evidence Synthesis, Test Evaluation and Modelling team (BESTEAM) in the Department
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, Informatics, Philosophy, and the Oslo Centre for Biostatistics and Epidemiology at UiO, the Norwegian Computing Centre (NR) and the ML group at UiT, with members from the departments of Physics and Technology