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. The data-driven life science initiative Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies
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and data-driven transitions. Compile and analyze data from industry partners and communicate and publish research results in scientific journals and at international conferences. Contribute
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computational scientists – both nationally and internationally. In addition, the doctoral student will be part of the data-driven life science initiative. The data-driven life science initiative Data-driven life
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. PhD student in Medical Science with a focus on the role of housing for active and healthy ageing The Department
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, teaching and dissemination of scientific findings with direct application to the sustainable management of forests. We have a multidisciplinary profile, with global relevance and specialized expertise
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degree (at least 240 higher education credits) in Energy Engineering, Computer Science, Robotics, or Electrical and Computer Engineering. A four-year natural science degree with technical content
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long-lasting adverse health effects in humans and wildlife is also performed. For more information see www.iob.uu.se Data-driven life science (DDLS) uses data, computational methods and artificial
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and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data