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on modelling of the transport, electrochemistry, and mechanics of next-generation lithium/air electrode materials and cell architectures. Using input data from experiments, the post holder will develop and
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on modelling of the transport, electrochemistry, and mechanics of next-generation lithium/air electrode materials and cell architectures. Using input data from experiments, the post holder will develop and
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opportunities to develop research profile, to travel to give demos and presentations, and to write academic papers. Candidates should hold a PhD degree in Computer Science or other relevant discipline. The
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About the role We are seeking a full-time Postdoctoral Research Associate in Power System Optimisation for Second-Life Battery Storage to join the Power Systems Architecture Lab within
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of this accelerator, i.e. exploring optimisations at the architectural and microarchitectural levels and pushing the design through the ASIC / EDA tools to generate accurate estimates of performance, power and area
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project aims to address the current limitations of traditional frame-based sensors and associated processing pipelines with a new family of algorithmic architectures that mimic more closely the behaviours
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. The postholders will support ongoing research that aims to unravel the molecular architecture of the chloroplast’s beta-barrel protein assembly machinery using structural tools. One of the posts will be focusing
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require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud
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superconducting qubits and millikelvin electronics Did you recently get your PhD in circuit quantum electrodynamics (cQED) and are now looking into taking the full potential of your skills into use for making new
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Associate, you will develop AI-enhanced Digital Twins for solar energy systems, enabling real-time monitoring, predictive maintenance, and performance optimization. You will design modular architectures