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partners from industry and science, we research and develop electronic, optoelectronic and quantum technological components and systems. The focus is on research and development for applications in the areas
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technology of active fluoride fibers. The position forms part of the Laser Technology (LAS) department, which develops and evaluates specific photonic materials and components, associated laser sources and
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central scientific institution of Heidelberg University with 23 research groups representing the entire spectrum of life sciences in research and teaching. The Department “Evolutionary Neurobiology” offers
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17.06.2024, Wissenschaftliches Personal The Chair of Algorithms and Complexity, Department of Computer Science, School of Computation, Information and Technology, has an opening for a PhD student
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concepts and system integration technologies and transfers them into practical use. Fraunhofer ENAS accompanies customer projects from the idea to the design, technology development or implementation using
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Max Planck Institute for Plasma Physics, Garching | Garching an der Alz, Bayern | Germany | about 21 hours ago
Job Code: 24/052 Job Offer from June 14, 2024 The Max Planck Institute for Plasma Physics as an institute of the Max Planck Society for the Advancement of Science (registered association) is the
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include: Researching, in particular, publicly available data on current and future materials for energy technologies Implementing the materials in our technology database and in our energy system model
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17.06.2024, Wissenschaftliches Personal Professorship for learning analytics at the School of Social Science and Technology, Technical University of Munich, is looking for a part-time scientific
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3 Doctoral Researcher (PhD Student) (all genders welcome) Stellen-ID: 2855 Facility: Department of Mathematics and Computer Science Contact person: Herr Axel Munk [email protected] 0551
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substitution options within the energy system Implementing the phased-out material flows and their substitution options in our technology database and in our energy system model ETHOS.FINE Deriving demand