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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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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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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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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
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) Laboratory. The group develops clinically grounded artificial-intelligence and data-science methods to derive scalable digital biomarkers from echocardiography, cardiac computed tomography, electrocardiography
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data. • Work with metabolomics, proteomics, and dietary data. • Support the development of clinical trial intervention materials, including group education programming. • Implement natural
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) Analyze and interpret genetic and genomic data Participate in the clinical trial activities, including: Recruitment, enrollment, and retention of eligible study participants in hospital settings Design
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work independently as well as in a team. Experience in large-scale research project management and development, knowledge of statistics and big data analysis would be highly desirable. The appointee will
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work in close collaboration with clinicians, AI researchers, statisticians, and industrial partners in a highly interdisciplinary consortium, translating large-scale cardiovascular data into clinically