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combined computational/experimental workflow for the AI-supported design of sustainable magnets free of rare earth elements. The activities focus on MnBi-based magnets with the goal to improve α-phase
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Job description - Developing device-to-architecture level models of emerging nanoscale devices (spintronic, resistive, or hybrid) for in-memory and neuromorphic computing. - Exploring hardware-level
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for this position. Research interests of the current faculty are predominantly in experimental and theoretical/computational condensed matter physics, including: semiconductor materials and optoelectronic devices
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Description of the offer : The goal of this project will be to investigate ultrafast magnetization dynamics, with spatial and temporal resolution, via resonant excitation of optical phonons driven by THz pulses from the free electron laser FELIX. The questions of interactions between the crystal...
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: an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Awards for UK, EU, International
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magnetometry, with the ultimate goal of enhancing coherence times and advancing the scalability of quantum computers. A goal of the project is to develop a mK-widefield quantum sensing tool in our Blufors
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