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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
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the role of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program
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We are pleased to announce a postdoctoral position focusing on developing advanced computational techniques to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from
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diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study
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, the focus is on utilizing model-based computational technology to study and solve advanced separation problems. The assistant professor position will be part of the advanced process engineering group. We look
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postdoc fellow at the AMBER programme you will get unprecedented biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and researchers. When
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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Master of Science in Engineering programme in Energy Systems, Bachelor of Science in Energy Engineering, and Master’s Programme in Sustainable Energy Systems Supervision of degree projects and doctoral
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Job assignment: The doctoral candidate program amounts to 240 credits (equivalent to four years of full-time study). It formally ends with the doctoral candidate publicly defending his/her printed
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build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems