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, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. * Conducting bioinformatics and statistical analyses of high-throughput omics data
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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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), or related fields with strong emphasis on quantitative methods or applied statistics Must have extensive experience conducting statistical analyses with large databases using SAS or Stata. Candidates in All
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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Okinawa Institute of Science and Technology, Information Theory, Probability and Statistics Unit Position ID: 3508 -POSTDOC1 [#26677] Position Title: Position Type: Postdoctoral Position Location
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. graduates with a strong background in statistics and data analysis, imaging science, segmentation of medical images including magnetic resonance imaging (MRI) scans, and outcomes research. Familiarity with
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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implementation of innovations in community prevention and clinical care. Postdoctoral scholars will focus on extending the development and application of a general framework for modeling and statistically testing