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program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 2 months ago
appetite regulation, caloric intake, and overall health outcomes. To explore this hypothesis, we will integrate a combination of mechanistic in-vitro studies and population-based epidemiological research
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outcomes. To explore this hypothesis, we will integrate a combination of mechanistic in-vitro studies and population-based epidemiological research. Researchers on this project will benefit from a
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comprehensive databases combining nationwide Norwegian health and socioeconomic registry data, biobanks and patient-reported data. Using advanced epidemiological methods, causal inference and machine learning
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epidemiological methods, causal inference and machine learning techniques, we aim to: Improve understanding of risk factors for primary headaches Predict diagnosis and disease progression Identify the most
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: Functional genomics and psychiatric epidemiology Clinical informatics and data harmonisation Co-production and participatory research methods Working within a cutting-edge UK-wide data infrastructure
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Medicine and is led by Associate Professor Joakim Esbjörnsson. The group uses various bioinformatics and phylogenetics methods to combine genetic, clinical, and epidemiological data to explain how viruses
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ecological zones spanning rural, peri-urban, and urban epidemiological settings in Djibouti, Ethiopia, Kenya, and Nigeria, with the aim of pinpointing factors driving invasion. You will work closely with our
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limited to: International/Sustainable Development Geography/Environmental Studies Social Sciences Public Health/Epidemiology Psychology/Mental health sciences Education Climate Science Sociology
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restoration. In DIGDEEP, we combine large-scale ecological experiments with epidemiological modelling to uncover general rules of disease transmission in plant communities. As our PhD candidate, you will take