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, and Michigan, and also link to other worldwide members of the tskit community. You will hold or be close to completion of a relevant PhD/DPhil in a quantitative subject (e.g. statistics, mathematics
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, statistical and case of study of switchbacks. Comparaisons with synthetic observations from the dedicated simulations of the JET2SB project. 2) Collaboration with the local LPC2E team, as well as the full
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Candidate Profile Training and Skills required (Recent) PhD in bioinformatics, statistics, or computer science with knowledge and interest in biology Track record of creativity in developing analytic
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-of-the-art genealogy-based statistical inference beyond human data and across many species, as part of a project focusing on predictive plant breeding. You will collaborate with an international team across
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and follow-up targets Contribute to and lead dissemination activities, including leading/overseeing statistical analyses and preparing peer-reviewed journal publications and conference presentations
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experience using statistical software (e.g., R and Python) and AI tools (e.g., Claude Code) are a key requirement for the position. Successful candidates should show potential to excel in tasks related to meta
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Required Qualifications: PhD degree in Biomechanics and Movement Science (or related engineering field), Kinesiology (or related human movement science degree), Neuroscience, or similarly related field
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Nanjing University of Information Science and Technology, School of Mathematics and Statistics Position ID: 2044-PD1 [#28207] Position Title: Position Type: Tenured/Tenure-track faculty Position
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scientific research manuscripts. Minimum Qualifications PhD in the field of earth or planetary science Preferred Qualifications Proficiency with geophysical data analysis and modeling Demonstrated expertise in
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of statistical shape modelling. Position The project aims to advance personalized musculoskeletal care by transforming routinely available imaging data, such as 2D X-rays and increasingly common surface scans