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that includes CTA/DICOM image acquisition, interpretation, imaging-based outcome analysis, and AI- and digital twin-based research initiatives. Develops research protocols, including IRB submissions and
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design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers
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under the supervision of Professor Boutcher and the Project Manager, Dr Clare Whitehead, and in association with the Digital Humanities Support Officer, Olivia Warren. Applicants must be available
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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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on development of novel vision-language foundation models for the analysis of digital pathology images. Develop AI agents that use foundation models for the discovery of biomarkers Work in a multidisciplinary team
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implementation research program aimed at bridging evidence from the Umeå HIT studies into scalable real-world practice in both digital and community settings. Previous work within the Umeå HIT project has
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. • Collate and analyse qualitative research and evaluation data, synthesise and visualise findings for different audiences. • Compile digital, and physical communications materials in support of
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academic partner in AF-B-STEP, contributing expertise in AF burden quantification, AI-based rhythm analysis, and digital biomarkers. The department has a strong data science environment, with an additional
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Internal Number: 1147524 Position Summary The postdoctoral scholar will contribute to projects analyzing and modeling digital socio-technical systems. Our work examines factors that shape the development
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analysis, and digital biomarkers. The department has a strong data science environment, with an additional team of three to four data scientists working across related cardiovascular research projects. As