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discipline relevant to the position, such as economics. You have documented research experience in sustainability transitions, innovation or infrastructure (e.g. energy, water, mobility or food), demonstrated
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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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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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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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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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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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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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to actively participate in teaching and student supervision, corresponding to a maximum of 20% of full-time employment. Applicants should have experience with basic methods in biomedical laboratory science
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, transition studies or another social science discipline relevant to the position, such as economics. You have documented research experience in sustainability transitions, innovation or infrastructure (e.g
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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