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research area “Community” and affiliated with the interdisciplinary research team “Knowledge for Democracy and Citizenship .” You will also become part of the research group “Technology and social change
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protein engineering to develop agents based on our research into their photophysical properties and structure-function relationship. Finally, we are driving the development of specialized screening
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. The Chair of Chemistry of Polymeric Materials in the Department of Polymer Engineering and Science has a position for a full-time Project Researcher (m/f/d). Salary Group B1 according to the UNI-KV, monthly
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for personalized learning and the integration of technology in foreign language education. In doing so, the project seeks to contribute to both educational practice and policy in the field of digitally supported
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on developing circular production routes for silicon and silicon carbide, key materials for high-temperature and high-performance applications. The project brings together materials science, powder technology
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, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results into useful decision support Publish and communicate results and
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opportunities? Do you have a background in electrical power engineering, operations research, or a related field, and are you interested in energy systems and markets? As a PhD candidate with us, you will work
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close
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Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal