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for Studying Metabolic Plasticity (ECR 5) For further information please visit: https://www.umg.eu/en/potenziale-entfalten/ecr What we offer: Generous support (your own position, a postdoc (1.0), a PhD student
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multidisciplinary team of students and postdocs. Interested? Check out our laboratory and publications on www.raeslab.org and/or https://scholar.google.com/cit... How to apply? Interested candidates should apply
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equivalent to those obtained by holding a position as a researcher or postdoc. To be appointed as a senior researcher, you must have completed a didactic/pedagogic education. If you do not have the necessary
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multidisciplinary team of students and postdocs. Interested? Check out our laboratory and publications on www.raeslab.org and/or https://scholar.google.com/cit... How to apply?Interested candidates should apply
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for Studying Metabolic Plasticity (ECR 5) For further information please visit: https://www.umg.eu/en/potenziale-entfalten/ecr What we offer: Generous support (your own position, a postdoc (1.0), a PhD student
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: The successful candidate will work in a team developing metal-free magnetism in graphene-related materials and organic 2-dimentional crystals by means of theoretical materials science. A wide range of quantum
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Senior Researcher in Design and Operation of Sustainable Biomanufacturing Processes - DTU Chemica...
equivalent) as well as academic qualifications equivalent to those obtained by holding a position as a researcher or postdoc. To be appointed as a senior researcher, you must have completed a didactic
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and the Brazilian Amazon. The successful candidate will work on the ClimateConnect project, a key component of the HICSS ClimateBridge cluster, which aims to generate practical climate solutions
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will be given to research into (1) Hydrogen-related materials, (2) Battery materials, (3) Quantum materials, (4) Semiconducting materials, (5) Artificial intelligence materials, (6) Metal and inorganic
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datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning). The goals are to develop new computational methods that allow the scientific inference