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Field
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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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the supervision and mentoring of junior researchers and doctoral students. It is essential that you hold a PhD/DPhil in Statistics, Biostatistics, Statistical Machine Learning, or a closely related quantitative
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interpretation of complex data. Coordinate statistical work across teams, ensuring alignment between analytic strategies, study designs, and methodological objectives. Co-supervise PhD students working
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and pursue independent research directions. Required Qualifications: Completed PhD in Statistics, Biostatistics, Computer Science, Bioinformatics, or a closely related area prior to their appointment
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Mississippi State University, Department of Mathematics and Statistics Position ID: MissState-DYNAMICAL [#27387] Position Title: Position Type: Postdoctoral Position Location: Mississippi State
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and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical displays of results and manuscripts for publication. Basic Qualifications
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to funder reporting Qualifications · Must have a PhD or equivalent in applied mathematics, statistics, biophysics, or similar. · Must be able to undertake full-time research and scholarship. · Must be able
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available PhD programs, with three years funding, in collaboration with the University of Göttingen. Master’s students aiming at a fast-track PhD are also welcome. The Postdoc position is limited to two years
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a PhD in
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, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling