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. About the role As Postdoctoral Researcher in Big Data for Cardiovascular Population Health, you will play a key role in applying machine learning, health statistics, and large-scale medical and population
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, or digital health. Responsibilities The Postdoctoral Scholar will: Analyze large-scale datasets from cohorts and clinical trials, including longitudinal data. Develop and implement predictive models
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biologically and clinically meaningful disease subtypes, regulatory programs, and therapeutic vulnerabilities. This position provides strong mentorship, access to large clinical cohorts, and close collaboration
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, including R01 (NCI renewal recently scored 1st percentile) and R35 awards, as well as institutional funding from ALSAC. We are closely integrated into the Pediatric Cancer Dependency Map, PedDep, a large
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for the analysis of cfDNA/cfRNA sequencing data Integrate multi-omic cfDNA/cfRNA data with clinical phenotypes to identify and validate biomarkers of inflammatory disease Collaborate with clinical and translational
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approach. Further information about current and past research of the lab can be found on our webpage https://scan-psy.univie.ac.at/research/ Your future tasks: We are looking for a postdoc in environmental
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experimental results in the context of large-scale datasets. Generate publication-quality analyses, figures, and visualizations, and contribute to study design, data interpretation, and project strategy. Lead
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al. Nature Genetics 2020, Costea et al. and Schoeberl et al., Mol Cell 2023, Mol Cell 2025). For a list of ongoing projects and publications, please visit: https://www.kcl.ac.uk/research/pavri-group
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, electronic health records, and survey data associated with large scale biorepositories, such as the All of Us Research Program dataset. Analyze multi-modal and multi-omics data from clinical studies
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
/). The Department of Psychiatry (https://www.med.unc.edu/psych/) in which the ITR resides provides an outstanding environment for groundbreaking research, clinical care, career development and interface with