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to international standardisation efforts. As a part of this collaborative research programme, you will join as one of three PhD candidates working on interconnected projects in Quantum Optimisation, People-Centred
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The Department of Chemistry invites applicants for a PhD fellowship in computational homogenous catalyst discovery. Start date is 1.9.2025 or as soon as possible thereafter. The project The project
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holography, combined with ultra-fast laser excitation and ultra-short electron pulses, to monitor carrier dynamics. The goal is to identify and map regions of high quantum efficiency as well as recombination
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computational chemistry and biochemistry studies as directed by Prof. William Goddard within the Materials and Process Simulation Center in the Division of Chemistry and Chemical Engineering Essential Job Duties
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 24 hours ago
dynamical manipulation of quantum systems. However, the scope of the graduate school extends to various related topics in theoretical and computational chemistry and both theoretical and experimental
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computational approaches. For a collaborative project within the Institute of Advanced Science (https://www.uni.lu/research-en/ias ) between the Integrative Cell signalling group and the Theoretical Chemical
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applications in timing and biology, quantum circuits and quantum computing. Projects will be available at the University of Adelaide, RMIT and the University of Queensland. Eligibility: Applicants must be
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of semiconductor materials and devices. There are a broad range of research projects available for the successful applicant in areas such as quantum technology, integrated photonics, electronics and sensing
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Metasurfaces and Interband/Quantum Cascade Devices”) that is dedicated to using mid-IR lasers, photonic integrated circuits, and advanced spectroscopy to unlock the secrets of proteins. With world-class labs
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for new quantum computing algorithms. It will rely on statistical structure learning represented by knowledge graphs and efficient low-rank tensor compressions. We are looking for: A completed scientific