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group with responsibility for carrying out research on the spin-resolved electronic structures of quantum materials, such as topological quantum materials and unconventional magnetic systems, making use
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Fixed-term: The funds for this post are available for 36 months in the first instance. We are looking for a Post-Doctoral Research Associate (PDRA), with a PhD in Physics, Materials Science or
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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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value of benefits provided by Heriot-Watt University Detailed Description This project is part of the new UK Hub in Quantum Sensing Imaging and Timing (QuSIT), that stands as an international centre
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in the research and management of the Computational Materials Discovery group. You supervise and guide students at the bachelor, master and PhD level. You contribute to the teaching activities in
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
for isomerization in MOFs: https://doi.org/10.1039/D3QI01065A What we are looking for: A PhD in Chemistry, Materials Science, Physics or a related field Experience in python (ASE, scikit-learn, pytorch) is essential
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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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from the Institute of Sensors and Signals (ISS) at Heriot-Watt University and Prof. Mike Davies at the University of Edinburgh, Leonardo staff, PhD students and the other PDRAs at the collaborating
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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