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2 x full time, 3-year fixed term positions, located on the Camperdown Campus at the School of Mathematics and Statistics Opportunity to drive research in computational pure mathematics through
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19 Sep 2026 Job Information Organisation/Company University of Oulu Research Field Biological sciences » Other Computer science » Other Mathematics » Statistics Medical sciences » Other Researcher
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Start Date: September 2026 Duration: 4 years (Structured PhD) Project Overview Applications are invited for a fully funded PhD studentship in Medical Biostatistics, Causal Inference and Statistical
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English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the position We invite applications for a three-year PhD Research Fellowship in
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, full-time (40 h) Post Doc position is available at the Division of BioInvasions, Macroecology & Global Change (https://bioinvasions.univie.ac.at ) at the Department of Botany and Biodiversity Research
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 2 days ago
collection Presenting and publishing ESS-relevant research in scientific conferences and journals Your profile: Above-average completed PhD (as well as a Master) in the Social Sciences (for example Sociology
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education, an ability and willingness to teach at all levels of the program, and a PhD in operations research, mathematics, statistics, or a related field by the start of the appointment. Salary will be
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Microbiology (MMM) Unit ( https://www.expmedndm.ox.ac.uk/mmm). The Unit comprises approximately 40 researchers situated in Oxford, predominantly at the John Radcliffe Hospital. Expertise within the unit spans
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University of Ottawa | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 2 months ago
2026), veuillez consulter : https://uottawa.wd3.myworkdayjobs.com/fr-CA/uOttawa_External_Career_Site/job/Ottawa-ON/Senior-Specialist--Statistics-Laboratory_JR37841-1
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processing influence the resulting quantitative data. What you’ll do Generate systematic proteomic datasets as part of a collaborative team effort Develop and apply statistical and quantitative approaches