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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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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 1 hour 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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of medication safety and effectiveness using national VA electronic health record data, including the extraction and curation of very large analytic datasets. Develop, preregister, and implement analytic plans
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, with a focus on whole-genome sequencing and multi-omics data and the genetic architecture of complex traits. The PHRC offers a multidisciplinary environment with access to genomic, clinical and lifestyle
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populations. Applicants must hold a doctoral degree (Ph.D.) in Nutritional Epidemiology or a related field, with substantial experience in dietary analysis, epidemiologic study design, big data handling, and
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reproduction of domestic large-animal species and are home to faculty in clinics, epidemiology, veterinary public health, and pathology. Faculty members provide clinical services for animals, diagnostic services
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. For more information see https://www. umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by WASP Wallenberg AI, Autonomous Systems and Software
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infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable use of clinical data for AI and machine learning applications in complex diseases such as Cancer, Alzheimer's
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you will develop advanced computational methods for the analysis of large-scale multimodal cardiovascular data, including electrocardiograms, cardiac device recordings, wearable sensor data, clinical