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data) datasets in cohorts of various ethnicities. The Di Angelantonio-Ieva group is seeking to recruit a highly motivated Postdoc in Genetic Epidemiology/Statistical Genetics. The postholder will be
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live in. Your role Research related to the following areas: Mathematical statistics, Machine Learning, High-dimensional statistics, Robust estimation methods, Probabilistic foundations of mathematical
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As a fellow you will join our faculty in the Department of Biostatistics, providing statistical support and developing innovative biostatistical methods for research projects at the cutting edge
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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
by training in the execution of statistically rigorous, hypothesis-driven research that probes the mechanistic basis of hematologic disease, uncovers new therapeutic targets, and translates
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team composed of researchers, engineers, bioinformaticians, biostatisticians and a project manager. The ideal candidate should hold a Ph.D. in Population genomics, Statistical Genomics, Evolutionary
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applications related to environmental systems and decision-making under uncertainty. Contact Information Project C Christian Ewald, Department of Mathematics and Mathematical Statistics, Umeå University
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PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical
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. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical
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Your profile PhD in psychology, with a focus on at least one of the below areas: Cognitive psychology Differential psychology Neuropsychology Evaluation and Assessment Methodology and Statistics Interest
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interdisciplinary, and together we contribute to science and society. Your role We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning