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have: good knowledge of quantum mechanics knowledge of electromagnetism and solid-state physics experience with scientific programming with e.g. Python, Matlab, Julia experience with writing a scientific
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possible in the field of energy storage. We invite applications for a fully funded PhD position in Thermal Energy Storage (TES), Industrial Energy Systems, and Artificial Intelligence at the Thermal Energy
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animal models and knowledge of interactions between diet, intestinal microbiota and health. Experience with microbiology and gut microbiome analysis is a plus, but not a requirement. Required skills
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at the cutting edge of sustainable materials design, chemical hazard assessment and microplastic pollution. This PhD opportunity is part of the EU-funded UPCYCLE project, which aims to transform non-recyclable
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. This knowledge will support the designation of marine protected areas in line with the “30 by 30” conservation target. A central component of the project is the integration and analysis of diverse data sources
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research, educational activities, and innovation at a high international level within e.g. energy, catalysis, and materials. The overall aim is to contribute with new knowledge about basic scientific
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, catalysis or surface science. Experience in scientific programming, e.g. using Python, is an advantage. The candidate has obtained excellent grades in his/her Bachelor and Master educations, good
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mindset, be curious and eager to learn. Since you will join an international group, a good command of written and spoken English is necessary. Your academic background should include a Master degree (or
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equivalent to a two-year master's degree. You must be proficient in English, and knowledge or interest in Scandinavian culture is an advantage. We seek applicants who have demonstrated their ability to work
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of increasingly renewable energy systems. The ideal candidate will have experience or an interest in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and