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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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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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, 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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wine chemistry Experience with advanced chemical and instrumental analysis techniques Sound capability in statistical analysis and experimental design A developing track record of quality research and
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to conduct statistical analysis, translate findings into clear and compelling written products, and perform data management tasks for a variety of health policy research projects and client
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» Statistical physics Mathematics » Applied mathematics Mathematics » Algebra Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 30 Jun 2026 - 00:00 (Europe/Vienna
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assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
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reviews Lead the analysis of large-scale population level data sets using statistical and data science techniques Provide statistical and mathematical modelling advice to junior researchers Lead the writing