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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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, 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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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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Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a plus. Recruitment is open immediately and
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collaboration with ITS 8.) Other duties as assigned Required Qualifications 1) Ph.D. in Data Science, Computer Science Experimental Psychology, Statistics or Biostatistics and a referred publication record. 2
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the departments of Mathematics, 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
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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 Epidemiology
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Safety and Risk Management, Biostatistics, and Medical teams in US and EU to achieve regulatory milestones Participate in cross-functional meetings to support and contribute to the clinical development