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established and emerging bioinformatics, statistical modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics
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statistical modeling skills (e.g., longitudinal, multi-level, overdispersed) of large, messy datasets · Proficient with statistical programming software and languages (e.g. SAS, STATA, or R
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, in collaboration with faculty and research staff at NCEMS, will conduct original research applying machine learning, artificial intelligence, computer science, statistical learning, or related
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initiatives, including framework development, physics and statistical analysis, scholarly publications, conference presentations, student mentorship, and outreach activities. Opportunities to Contribute
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our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and
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development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely
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position is supported by a National Institute on Drug Abuse-funded R01 award. The position involves contributing to a dynamic team engaged in developing and applying a combination of statistical analyses and
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appropriate statistical methods, contribute to scientific publications, project reports, presentations and other communication of research results, participate in project meetings and collaborate with academic
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background in high resolution imaging and analysis High proficiency in statistical analysis Personal Home Office Licence holder (PIL, mouse) Desirable criteria Proficiency in using advanced imaging techniques
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11 Aug 2026 Job Information Organisation/Company Universität für Bodenkultur Research Field Mathematics » Statistics Chemistry » Other Physics » Other Technology » Other Researcher Profile