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. The ideal candidate will have expertise in cancer genomics and/or functional genomics, paired with strong computational and statistical training, and will be excited to lead independent projects
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. medical statistics, epidemiology, health economics, sociology, demography, bioethics) and be planning to apply for a DPhil in Population Health in 2026. You will be required to upload a CV, a Supporting
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project that will enhance Population Health research in Oxford. Applicants should have an MSc in a subject relevant to Population Health (e.g. medical statistics, epidemiology, health economics, sociology
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(longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses, time series
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Details Title Postdoctoral Fellow at Harvard in RL with Applications in Digital Interventions! School Faculty of Arts and Sciences Department/Area Statistics Position Description Join us as a
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, Statistics, Image analysis Basic understanding of plant phenotyping and analysis of large data sets, preferably also using AI tools for image analysis Strong analytical skills and ability to work independently
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, or job experience. Proficiency in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a
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analysis, data simulation and imputation. B) Participate in development and testing statistical methods for admixed human datasets. C) Omics (genome, transcriptome, microbiome, epigenome) data integration
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of the following: cancer biology / cancer immunology / epithelial cell biology / evolutionary biology / genomics / statistics / mathematics or machine learning* Technical qualifications: For bench
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. Laboratory experience analyzing coastal sediments and interpretation of results. Proficient in statistical analyses and modelling using relevant software (e.g., R, MatLab, Python etc.). Skilled in Microsoft