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. The successful candidate will also apply statistical modeling for mechanistic inference and conduct biogeographic and geospatial analyses of microbiomes. This position involves collaborating with scientists and
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) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
analysis methods. You'll join an interdisciplinary team of currently four PhD students, three postdocs (including this position), and four senior scientists, supported by technical staff (workshop
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finfish feeding trials, collecting data on growth performance (SGR, DGC), feed conversion ratio (FCR), survival, and tissue accumulation of heavy metals. Conduct statistical analyses of feeding trial data
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 11-Jul-26 Location: Irvine, California Type: Full-time Categories: Academic/Faculty Mathematics/Statistics Internal
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for malaria and other neglected tropical diseases. This will be done by developing mathematical and statistical models, to describe the time course of drug concentrations and effect. You will work closely with
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD degree (or foreign equivalent) in Electrical Engineering or a closely related field in hand by
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Skills/Qualifications PhD (completed by start of employment) in economics, statistics, psychology, decision sciences, political science, or any other relevant scientific field or discipline. Proven
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completing, a PhD/DPhil in Health Economics, Economics, Statistics, Epidemiology, Health Data Science, Mathematics, or another quantitative discipline, and will have experience in health economics, disease