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quantum field theories, and the application of Hamiltonian methods to gauge theories, though you will also be encouraged to develop and pursue your own research directions. Applicants should have a PhD in
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offer: In the Maurer group, we aim to develop computational simulation methodology to study quantum phenomena at surfaces with applications ranging from photocatalysis, to nanotechnology and
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
Experience in uncertainty quantification or statistics applied to quantum chemistry and machine learning would be advantageous For more details, please take a look at the role profile. We'll still consider
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members of the Mathematical and Theoretical Physics Group, contributing to the UKRI Future Leaders Fellowship project "Quantum Symmetries in Diverse Dimensions." The objectives of the project include
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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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symmetries and quantum field theory, string theory and holography, amplitudes and correlators, and solitons in field theory. There is a wealth of relevant expertise, with the Group counting amongst its members
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institutes: the Institute of Chemical Sciences, the Institute of Photonics & Quantum Sciences, the Institute of Mechanical, Process & Energy Engineering, the Institute of Sensors, Signals & Systems (ISSS) and
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potential. Our research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate
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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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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