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responsible, well-organized and highly motivated student to pursue a 4-year doctoral program. Prior experience in human immunology research and multicolour flow cytometry (including data analysis in Flowjo) is
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Project descriptionAutonomous systems are intelligent agents—such as robots, vehicles, or drones—that can sense their environment, make decisions, and act independently. When multiple such agents
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and dissemination in Food and Nutrition Science with the aim to provide new knowledge and solutions that pave the way for a sustainable planet and healthy humans. Research topics span from food
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of information technology in relation to humans, organizations and societies. Project description For this work, you will collaborate as part of a research team within European projects, primarily focusing on tasks related
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. There are a number of different research projects in both areas. Work description The Ph.D position is part of a national research project, "Human-Centered Intelligent Realities (HINTS)", carried out with six
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) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global
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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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staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. Lund University welcomes applicants with diverse backgrounds
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courses. Most of your working time will be devoted to your own research. As a researcher, you often act as a neutral party in various contexts, which offers a great opportunity to learn how to lead
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largest at SLU within social sciences, humanities and design. This position will be placed at the Division of Rural Development, which conducts research, teaching and collaboration that focuses on issues