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Field
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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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Experience in mathematical modelling, statistical inference, simulation studies, and data analysis Expert knowledge in relevant programming languages (e.g. R, Python, Julia, C++) Analytical and structured way
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of molecular phenotypes, Mendelian Randomization, co-localisation); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and
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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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psychology, neuroscience, biostatistics, bioinformatics, genetics, or another related field - Strong quantitative and statistical background and related software and programming language proficiency (e.g., R
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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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, master’s, and doctoral programme levels. Recognised Researcher position has been opened. The ideal candidate would have a PhD. degree in biological or environmental sciences with research and publications
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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 The Luxembourg Institute
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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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Mississippi State University, Department of Mathematics and Statistics Position ID: MissState-DYNAMICAL [#27387] Position Title: Position Type: Postdoctoral Position Location: Mississippi State