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formal master’s degree programs (or equivalent) qualifying for a PhD program in epidemiology, statistics, and prevention and implementation science/public health, or to have completed such a program by
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 12 days ago
program in epidemiology, statistics, and prevention and implementation science/public health, or to have completed such a program by October 1, 2026. Prior research experience is an advantage. Applicants do
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CallforApplications Within the PhD School at Bocconi University, the 4-year PhD program in Statistics and Computer Science is a high profile and rigorous doctoral program that provides students with
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IAPETUS DLA PhD Studentships – Geography, Natural and Environmental Sciences, Mathematics, Statistics and Physics, Civil Engineering, Computing, & Geoscience Award Summary 100% of tuition fees paid
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represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics
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Statistics group at the Mathematical Institute, an active and growing group of researchers in biostatistics, mathematical statistics and computational statistics. Where you will work The Mathematical Institute
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Announcing: BIPS PhD Program in Epidemiology, Statistics, and Prevention and Implementation
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of Statistics and The USBE office form USBE, with about 150 employees. About 4000 students follow our programs every year and we offer education from the undergraduate to the doctoral program level in all of our
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(or equivalent) in Computer Science, Statistics, Ecology, Biology or Forestry. · Documented experience with application of deep learning and advanced statistical analysis and programming (e.g., R or Python
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analysis or a related field; Background in computational biology, statistics, or data science; Experience with programming languages such as R, Python, or similar; Interest in drug discovery, metabolic