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Field
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have ▪ Excellent master’s degree in Electrical Engineering, Communications Engineering, or a related field ▪ Strong knowledge in wireless communication systems and channel coding ▪ Proficiency in
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Learning Matters!. Task You will break with the current focus on the brain to uncover the physics of continual learning instead by investigating the emergence of learning bottom-up in life, reduced in
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opportunities. We offer: a collaborative and interdisciplinary research team with a dedicated mission of making materials and molecular systems intelligent a highly engaging and current research topic in
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Excellent university degree (Master’s) in Electrical Engineering, Physics, Applied Mathematics, or a related discipline Strong motivation for interdisciplinary research at the interface of energy systems
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electricity, natural gas and hydrogen infrastructures under future energy transition scenarios, and to support informed decision-making for integrated energy systems. Your tasks in detail: Analyse the impacts
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science, computational neuroscience and causal AI. You will collaborate with internationally recognized researchers and contribute to developing novel methods for understanding brain dynamics. The current
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past datasets within the URBank (https://urbank.earth ) initiative. The full-time position will be for a period of 3 years, with the possibility of a 1-year extension, and based in Jena, Germany. The
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specifically designed to help prospective and current international doctoral students studying at the University of Bamberg. The Welcome Center is here to help you with your first steps at the university and the
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nanometer-scale measurement of electrical potentials, magnetic fields and carrier dynamics with high temporal resolution, in projection and in three dimensions under external stimuli. The position is embedded
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design of complex physical systems. The group is jointly embedded at Saarland University and DFKI in Saarbrücken. Current Research Directions include: AI for scientific computing – neural operators and