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. Knowledge of mathematical machine learning theory or mathematical statistics is a plus, as are extra-curricular activities in, for instance, student associations, sports, music, etc. Prior knowledge
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | about 1 month ago
sciences Mathematics » Statistics Sociology » Other Psychological sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 31 Mar 2026 - 23
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. Place of work is Department of Informatics at Blindern, Oslo. Project description The position is part of the RESPIRE project funded by the Research Council of Norway (https://www.mn.uio.no/ifi/english
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statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available
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establishing priorities. Other duties as assigned. Knowledge – Skills – Abilities Knowledge or fluid and solid mechanics, biology, chemistry, mathematics, and statistics Documentation, records management, and
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the following fields is required: mathematical or computational biology, mathematical/statistical modeling, optimization, pharmacokinetics/pharmacodynamics (PK/PD) modeling, pharmacology, or related
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3 years). Expertise in Neuroscience, Epidemiology, Computer Science, Statistics, Mathematics, or related fields. Proficiency in R and/or Python programming. Strong written and oral
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topics, such as conducting or analyzing privacy attacks, investigating the statistical properties of input and output data, and implementing and tuning PETs. Projects will be matched with the student's
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, cosmology, quantum field theory, string theory, condensed matter, statistical mechanics, and quantum information theory. The Institute has a tradition of collaboration with the Departments of Physics and
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the services nature provides to people. The position will combine ecological data analysis with statistical and spatial modeling to quantify chemical impacts across multiple levels of biological