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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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. Ready to be part of our team? Let’s shape the future together! About the team: Our group develops and applies quantum mechanics-based methods for the description of condensed matter systems, including
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have proven academic ability and a demonstrable high level of technical competence in computational data science and the analysis / modelling of the results. Theoretical or experimental experience of in
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Postdoctoral Research Associate ( Job Number: 25000280) Department of Mathematical Sciences Grade 7: - £38,249 per annum Fixed Term - Full Time Contract Duration: Up to 24 months Contracted Hours
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to develop and improve current simulation methods (quantum and classical) to study such systems. The overarching aim of the post-doctoral position is to develop and apply computational approaches that enable
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about our group and our research can be found at https://lupo-lab.com/ LUPO is part of the Institute of Photonics and Quantum Science (IPaQS), which is one of the UK's largest research clusters in
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and modelling of nanoelectronic devices operating at cryogenic temperatures (4 Kelvin - 77 Kelvin) for energy efficient quantum computing (QC) and high-performance AI computing in data centres
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with high power / ultra-short-pulse lasers. Optical or Laser system design and development. System engineering principles and processes. Training in Computer Aided Design (CAD) & Modelling. Skills
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principles and processes. Training in Computer Aided Design (CAD) & Modelling. Training in Design for Additive Manufacturing. Skills & Experience: Desirable Criteria Previous experience working in a laser