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focuses on two central aspects: accelerating technology development and designing sustainable P2X value chains. As a PhD researcher, you will contribute to the new stack designs for high-temperature
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Your Job: The accelerated development of advanced materials is essential for addressing major challenges in energy, mobility, and sustainability. Traditional trial-and-error methods in materials
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, the European “Green Deal” and the phase-out of lignite. Funded by the German Federal Ministry of Research, Technology and Space, the project focuses on two central aspects: accelerating technology development
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accelerators for science. Currently, the new FAIR (Facility for Antiproton and Ion Research) one of the world´s largest research projects, is being built in international cooperation. GSI and FAIR offer
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Fraunhofer Institute for Wind Energy Systems IWES | Bremerhaven, Bremen | Germany | about 1 month ago
to accelerate the expansion of the wind energy and hydrogen economy, minimize risks, and increase cost efficiency. Do you want to join us in shaping a sustainable future? What you will do These duties await you
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to accelerate the expansion of the wind energy and hydrogen economy, minimize risks, and increase cost efficiency. Do you want to join us in shaping a sustainable future? What you will do These duties await you
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Your Job: The conventional, manual co-design of algorithms and hardware is slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is
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: Develop an event-driven RL algorithm that sparsely updates network state and parameters that will significantly improve energy to-solution efficiency compared to conventional digital accelerators when
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85748, Germany [map ] Subject Area: Physics / HEP-Phenomenology (hep-ph) Appl Deadline: none (posted 2024/08/04) Position Description: Apply Position Description Applications are invited for several Ph
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slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is the development of meta-optimization techniques that can automatically search