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within a Research Infrastructure? No Offer Description Description of the workplace The position is based at the Department of Human Geography (KEG) and affiliated with CIRCLE, Centre for Innovation
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, spectroscopy, microscopy and structural characterization. The student will design, plan, and execute the experimental work, often in collaboration with colleagues, critically analyze and discuss the results, and
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innovation-driven contexts. Read more about staff benefits and life as an SLU employee on https://www.slu.se/en/about-slu/work-at-slu/ Read more about third-cycle courses and study programmes on https
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to translate fundamental mechanistic understanding into broadly applicable strategies for catalyst and electrochemical system optimization. The PhD student will work on the design, characterization, optimization
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innovation-driven contexts. Subject description In the Landscape Governance and Management group we perceive governance as the collaboration between actors within and outside the public sector which concerns
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and innovation. (https://liu.se/loe ) You will work within the newly established Computational Materials Science group of Assistant Professor Waldemar Kaiser, part of the Theory & Modelling unit (led by
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interfaces, you will establish scientifically grounded design principles for sustainable electrolytes that meet industrial performance requirements. The main activities involved in the doctoral studies are in
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department each year. You can find more information about us on the Department of Information Technology website . At the Division of Systems and Control , we develop both theory and concrete tools to design
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 23 days ago
University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies Duties The PhD education in Medical Science comprises carrying out a scientific project
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with European industry. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning