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Field
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The Leibniz Institute for Prevention Research and Epidemiology – BIPS, Department Statistical Methods in Epidemiology, offers a position as a Statistician/Biometrician (PhD student) m/f/d/x Salary
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diseases (VBD) in relation to climate change, such as West Nile fever, Dengue fever, and Tick-borne diseases. His group develops and uses approaches for multi driver predictions using statistics and machine
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statistical analyses on large databases Designing and running experiments Structural modelling and related econometrics Proving theoretical results Basic Qualifications Bachelor’s degree by start date (required
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the statistics program at CIF, contributing to the Alarm Distress Baby Scale (ADBB) in Denmark project. Interested candidates can read more about the project here: https://psy.ku.dk/cif/english/research
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position in statistical genetic approaches in fish
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user experience and learning effectiveness Contributing to research activities relevant to ASSURED, e.g., conference and journal papers on topics such as data governance, privacy and statistical
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candidate will have a proven track record of applying rigorous epidemiologic and statistical approaches to complex datasets, collaborating with multidisciplinary teams, and advancing knowledge in pathogenesis
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involving complex methodologies and statistical analysis. Your responsibilities will include data management, cleaning, and analysis using advanced statistical techniques, as well as drafting reports and
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Reviews and Social Media Comments in the Age of Artificial Intelligence”, having Maria Petrescu as principal investigator. The ideal candidate profile consists of advanced knowledge in statistical and
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patient samples. The Sheffield arm of the project will develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung