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or laboratory analyses. Familiarity with statistical analyses and data integration across multiple sources. Collaborative skills and ability to demonstrate commitment in teams Motivation to pursue a scientific
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Familiarity with statistical analysis and interpretation of experimental data Experience in scientific writing, especially for publications and third-party funding applications Proficient English and, ideally
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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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of metabarcoding data, plant metabolomics or transcriptomics, multivariate statistical analyses or soil microbiology Further, we will prefer candidates with some of the following qualifications: Teaching and
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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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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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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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, statistics are preferred but not required. Strong publication record in peer-reviewed journals Special Skills, Knowledge, and Abilities: Successful applicants will be collaborative, curious, and highly
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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