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The Department of Clinical Epidemiology (Department of Clinical Medicine) at the Faculty of Health at Aarhus University invites applications for a position as a Research Assistant in Cochrane
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researchers Education: Ph.D. in a related field (e.g., epidemiology, biostatistics, health economics and policy, pharmacogenomics, biomedical informatics, biomedical engineering, computer science, or a related
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 3 months ago
support the delivery of public health research. The Senior Researcher will apply their epidemiological, statistical and leadership expertise to a range of studies to develop and deliver CPRD research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, statistical genetics, and genetic epidemiology, involving large human genetic studies. This 12-month full-time position is open at the Assistant Professor rank. Minimum Education and Experience Requirements
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
, statistical genetics, and genetic epidemiology, involving large human genetic studies. This 12-month full-time position is open at the Assistant Professor rank. Minimum Education and Experience Requirements
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The successful applicant should/must have experience in nutrition epidemiology, preferably in aging, and in statistical analyses applicants who have experience also in independent Publishing of research results
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, environmental science, epidemiology, and data science to generate actionable insights for policy and practice. The post holder will contribute to the development of environmental exposure archetypes with a focus
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other research projects, data analysis, conception and design of studies and preferably will complete a PhD thesis in the field of MASLD, either translational, clinical or epidemiologically oriented. Main
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biosolutions. The institute’s tasks are carried out in interdisciplinary collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved
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projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome