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Field
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Your Job: In this PhD project, you will explore the stability and dynamic behaviour of inverter-based power systems, using state-of-the-art supercomputing infrastructure. You’ll work at the cutting
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Your Job: In this PhD project, you will shape the future of power system security by harnessing exascale computing. Your research will focus on understanding and enhancing grid resilience under
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for the electrochemical energy storage and conversion. Aiming to develop sustainable and cost-effective batteries, fuel cells, and electrolyzers with improved energy and power density, longer lifetime at maximal safety is
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Infrastructure? No Offer Description Area of research: Promotion Job description: Your Job: The PHOENIX - Launch Space Power-to-X joint project plays a central role in aligning the innovation cycles of P2X
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Your Job: The PHOENIX - Launch Space Power-to-X joint project plays a central role in aligning the innovation cycles of P2X technologies with the long-term goals of the energy transition
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 months ago
environment from hazards caused by pollutants resulting from technical processes that produce energy and raw materials. The Department of Surface Processes is looking for a Postdoc (f/m/d
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Postdoc Position Specialized metabolite functions during gut microbial interactions in Fusobacterium nucleatum Applications are invited for Postdoctoral and PhD positions in the laboratories of Professor
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Our »Optical Quantum Metrology« research group develops innovative measurement technologies for clinical and industrial applications based on the ability to measure individual the oscillations
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Dynamic Spectroscopies Group, Technical University of Munich (TUM) | Garching an der Alz, Bayern | Germany | about 2 months ago
in an international environment Ability to work with specialists from other fields, such as theoretical physics and synthetic chemistry, in an interdisciplinary project Tasks Together with a postdoc
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. We are working