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analysis tools for the large data stream of HTP phenotyping for assessment of abiotic and biotic stress tolerance (e.g. determine extent of damage to a disease or functional response to humidity); also
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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us We are seeking a highly motivated and experienced researcher to work on the large-scale programme and associated projects of the Data
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) Location: Big Rapids, MI Department: College of Arts, Sciences, and Education Advertised Salary: $13.73-$13.99 Summary of Position: A Student Research Assistant will work under the direct supervision
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effectively and efficiently with large scale electronic healthcare data (such as CPRD, MINAP, HES) applying advanced statistical modelling and causal inference techniques. What we offer in return 26 days
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of LHC data, based on solid C++ and Python expertise, is strongly appreciated. Ability to work in a large international collaboration is a must. Fluency in English, speaking and writing (B2 minimum) is
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of large-scale administrative data, among other approaches. This position will include a variety of tasks that provide preparation for graduate school, such as analyzing data, developing statistical models
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programme in metabolic psychiatry. Reporting to Associate Professor Amedeo Minichino, you will join a team working at the frontier of preventive mental health across clinical trials, large-scale data
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Are you an ambitious researcher looking for your next challenge? Do you have an established background in galaxy formation and evolution, and interest in large galaxy surveys and cosmological
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programme in metabolic psychiatry. Reporting to Associate Professor Amedeo Minichino, you will join a team working at the frontier of preventive mental health across clinical trials, large-scale data
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integrates neuroimaging, sleep measurement, digital phenotyping, electronic health record (EHR) data, and deep clinical phenotyping to identify predictors of symptom trajectories and functional outcomes in