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Postdoc in Molecular Epidemiology – Statistical Genetics | Human Technopole, Milan Build the science that shapes the future of human health. Application closing date: 08.07.2026 Join a place where
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or Computer Science Experience in research management and in leading project staff IT skills and excellent programming skills Knowledge of: exact and metaheuristic solution methods in Operations Excellent knowledge
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Description: The Institute of Food and Agricultural Sciences is creating an environment that affirms community across all dimensions. If an accommodation due to a disability is needed to apply
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with subject matter researchers and investigators in large NIH consortia. Basic Qualifications Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, computational biology
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, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following areas: Machine learning/predictive modeling
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Ph.D. by the time of appointment in statistics, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following
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. For applicants to the Microbial Bioinformatics track: PhD or equivalent in Computational Biology, Microbiology, or a related field. At least one published contribution in computational biology, microbiology, or a
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statistics, applied mathematics, and/or computational science. This position is funded by EPSRC, the Met Office, and Lancaster University. Lancaster University is a research-intensive university, ranked in
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Position Description Postdoctoral positions in theory in biological physics, soft matter, statistical mechanics, complex systems and related research fields are available in the research group of Dr. Hong-Yan Shih in the Institute of Physics (https://www.phys.sinica.edu.tw ), Academia Sinica,...
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application! Work assignments The project's contribution will lie at the intersection of random matrix theory and statistical inference theory, with applications in several fields of science. Special emphasis