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key role in delivering the following objectives: Develop and validate advanced cardiovascular risk prediction models, including multi-outcome and dynamic models tailored to complex, multimorbid
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with large datasets, with a minimum 200 records, using statistical software packages including SAS, R, SPSS, and STATA. (Required) Demonstrated knowledge of at minimum one general object-oriented
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multiple locations across several targeted intervals. These will form the basis for empirical calibrations that we will use to predict the hypothetical natural baseline of Earth’s climate, free from
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, such as records of multiple or intermediate causes of death and linked patient or diagnosis data, to study patterns in cause co-occurrence across death and disease. These shared data sources connect
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techniques. The incumbent is expected to exercise sound judgment in selecting and applying appropriate methods and techniques to achieve research objectives, working independently within broadly defined
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activities and course delivery materials to support course objectives, advise students, work collaboratively to identify instructors, and perform service to the unit, university, and profession
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transmission chains, but they are a risk to global health as they could enable the first step towards human adaptation and the generation of pandemic IAV strains. Multiple barriers have been identified