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that integrate population genetics, statistical analysis, and health data. You will directly contribute to deeper analysis of data derived from the HGSC's pioneering work in Mendelian genomics and multiple NIH
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5639. Qualification requirements: Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. Your background is in statistics, computer science
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experience in data management, health data science, medical statistics, epidemiology, or a related discipline. We would welcome applications from people with advanced data science, epidemiological
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staff position within a Research Infrastructure? No Offer Description Applicants are invited for a 3-year position as a postdoctoral fellow in epidemiology/biostatistics/medical statistics to be based
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17 May 2024 Job Information Organisation/Company Universitat de Barcelona Department Organisation profile Research Field Physics Researcher Profile Recognised Researcher (R2) Country Spain Application Deadline 5 Jun 2024 - 23:59 (Europe/Madrid) Type of Contract Temporary Job...
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Research, University of Copenhagen, Denmark. Candidates should have a strong background in (genetic) epidemiology, bioinformatics, statistical genetics, data science, machine learning, or a closely related
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: a PhD degree in Microbiology, Computational Biology, Bioinformatics, Statistical Genomics, Epidemiology or a related discipline; affinity with microbiology, genomics and an understanding of microbiome
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2nd June 2024 Languages English English English Campus Ahus Postdoctoral fellowship in epidemiology /biostatistics/medical statistics Apply for this job See advertisement Job description Applicants
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(applied mathematics, applied statistics, computer science) to join School of Mathematical Sciences, Faculty of Science, Academic Division. MACSYS is intended to generate the mathematics and computational
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that integrate population genetics, statistical analysis, and health data. You will directly contribute to deeper analysis of data derived from the HGSC's pioneering work in Mendelian genomics and multiple NIH