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Field
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conducts theoretical, methodological and applied research, with emphasis on statistical methodology for large-scale and register-based data and on applications of societal relevance. The successful candidate
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and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and
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, heart failure, long-term conditions, self-care or person-centred care. Survey data, registry or usage data, and statistical analysis. Multicentre research or collaboration with regions, clinical services
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and proficiency working with large datasets (experience working with Danish national registers strongly preferred) Experience and proficiency with data analysis and statistical modeling Competence with
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, biostatistics, economics, data science, informatics, implementation science, public policy, or a related field Experience/Skills • Experience working with large administrative, clinical, or programmatic datasets
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Surgery Department
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
. Responsibilities will include processing and curating large clinical datasets; developing reproducible computational pipelines; conducting internal and external validation studies; evaluating model discrimination
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
. Responsibilities will include processing and curating large clinical datasets; developing reproducible computational pipelines; conducting internal and external validation studies; evaluating model discrimination
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B cell lymphomas including diffuse large B cell lymphoma and Burkitt lymphoma. They arise as a byproduct of somatic hypermutation, when the enzyme activation-induced deaminase (AID) generates DNA
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interdisciplinary research integrating large-scale population and clinical data with multi-omics, biology, and AI to investigate the causes and biomarkers of early-onset cancers and identify opportunities