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model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
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work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better
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Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within
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of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to
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to work well both independently and in a team and have the ability to independently plan and conduct research Proficiency in spoken and written English Documented experience in publishing in international
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freedom to develop related research questions in collaboration with the research team. A detailed research plan will be co-developed together during the recruitment process. You will join a vibrant
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. The research group is part of the National Program for Data-driven Life Science (DDLS), generously funded by the Knut and Alice Wallenberg Foundation: www.scilifelab.se/data-driven/ Our group focuses on studying
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decision-making in clinical settings. Project description In this project, we plan to combine AI-driven telemonitoring with specialized home care to improve management of heart failure patients. Using AI, we
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of organic semiconductor materials. Work assignments This project, funded by the Wallenberg Academy Fellows programme https://kaw.wallenberg.org/en/research/creating-greener-semiconductors , aims to provide a
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research area. Candidates must be fluent in spoken and written English and highly motivated. Candidates are expected to pursue and plan research independently, but also to function in a team. Excellent