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to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics
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. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. Located in
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, including, but not limited to, submission of peer-reviewed articles, training in statistical and qualitative data analyses, dissemination and translation of findings to diverse audiences, and development
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pipelines, including data processing, harmonization, and statistical analysis workflows. Data translation: Lead technical data activities across laboratories and omics groups; works with investigators
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. Knowledge and experience in social science research methodologies. Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS, R, Jamovi and JASP). Familiarity
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and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical displays of results and manuscripts for publication. Basic Qualifications Ph.D
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methodological innovations that bridge the gap between computational theory and impactful clinical application. We are seeking a highly motivated individual with a strong statistical and machine learning
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graphing and/or data analysis software (Prism, Origin Pro, Matlab etc) Success in research funding and/or experience in grant development and writing. A good understanding of appropriate statistical analysis
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graphing and/or data analysis software (Prism, Origin Pro, Matlab etc) Success in research funding and/or experience in grant development and writing. A good understanding of appropriate statistical analysis
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 2 months ago
activities by conducting statistical analysis of existing datasets and advising on prospective studies. In particular the applicant will contribute statistical expertise to the NIH-funded project “Human