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environment. The selected PhD candidate will be joining a dynamic and interdisciplinary lab that do ambitious science, based in SciLifeLab in Stockholm, a vibrant hub for scientific research. Admission
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conducts research that contributes to the sustainability of the Norwegian welfare state and the metropolitan region. The Faculty of Health Sciences consists of five departments and offers study programmes
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(CAD) since 2016 and CT- Fractional Flow Reserve (CT-FFR) as a second line test since 2017. In 2018 a national health technology programme funded CT-FFR utilisation with the aim of improving patient
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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The Centre for Alcohol and Drug Research invites applications for a Ph.D. position in the field of prescription drug use (tranquilizers and related substances) among youth (both in and outside
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deformation. Responsibilities Develop scientific machine learning methods in close collaboration with team members specializing in experimental techniques and materials science. Utilize unique experimental data
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in the cross-disciplinary TRDA project Entangled Lewy. The project brings together Health Sciences, Creative Arts, Humanities, Social Sciences, Business, Engineering, Computer Science and Health
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with a surface. This project will involve using and further developing both the experimental and data analysis methods that are currently used within the research team. The student will learn how to use
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should have an undergraduate degree (first or upper second class) or equivalent qualification in sport and exercise science or a related field. A Masters qualification in a relevant area would be desirable
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for technology demonstration and utilisation as well as space applications and exploration in the upper atmosphere, Earth orbit and planetary space. The research and education activities are supported by high