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Field
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, and quantum computing, and the ability to support their adoption in research contexts Sound understanding of training technologies, preferably in a cloud computing context, and experience supporting
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chemistry, molecular dynamics simulations, quantum chemistry, nanomaterials, energy materials, or biomaterials. Candidates with expertise in related fields but not directly linked to AI/Computational
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commonly used in research computing Experience supporting research computing in an academic setting Familiarity with emerging computing paradigms, such as quantum computing, and their potential applications
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commonly used in research computing Experience supporting research computing in an academic setting Familiarity with emerging computing paradigms, such as quantum computing, and their potential applications
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with industry. Responsibilities You will play a key role in advancing fundamental understandings of water and electrolyte thermodynamics by combining molecular theories and simulations, quantum chemical
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will cooperate closely with the Leibniz Research Centers Laboratory for Nano and Quantum Engineering and Energy Research@LUH. In the field of energy research, the Faculty of Electrical Engineering and
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applications for multiple tenure-track faculty positions at all ranks for candidates with research interests across all domains relevant to computer science. Candidates with research in Quantum Information
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understanding of the universe and inventing the technologies of the future, with research interests from quantum science and engineering to bioinformatics and the nature of life itself, from human behavior and
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and Muon Facility, the Central Laser Facility, Scientific Computing Division and National Quantum computing Centre), the Daresbury Laboratory (Accelerator Science and Technology Centre and cryogenic
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postdoctoral research track record and are expected to build and lead a group to pursue a high-quality research programme. Current research interests within the Division of Condensed Matter Theory (https