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, computational medicine, predictive analytics, big data, neuroscience, and related fields. AI + Life Sciences: Participate in research projects that are related to AI and the life sciences. These may include
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the impact of information technologies on population health in the context of public health and healthcare delivery organizations. The goal of the fellowship program is to provide individuals with doctoral
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-bed and facilitate large-scale, community-based service innovations through a variety of methods including programme evaluation and social analytics. The Research Fellow will join a dynamic multi
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(6) Non-Hospital Health Related (6) Technical Support (6) Craft/Service/Maintenance Ops (5) Engineer, Construct & Design (5) Business Administration (3) Data Analytics (3) Information Science & Museum
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developing data analysis methods, so the PhD candidate will benefit from collaborations within the group. Roles and responsibilities of the PhD fellow The candidate’s specific research tasks will include
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the methodologies to be used. The final project description will be developed in cooperation with the supervisor. Contact For further information about the position, please contact Professor Roger Larsen: phone: +47
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their ability to contribute to one (or more) of the following cross-disciplinary research initiatives: Scale computing and data analytics to exascale and beyond for science and energy Deliver transformational R&D
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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serving the University of Chicago Booth School of Business, the Kenneth C. Griffin Department of Economics, the Harris School of Public Policy, and the Law School. For more information visit https