41 computer-science-quantum-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of Nottingham
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from AI data centres and high-performance computing. The appointed Research Associate/Fellow will conduct computational studies of electronic transport and quantum phenomena in 2D semiconductor materials
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The Sir Peter Mansfield Imaging Centre, University of Nottingham, UK is seeking applications for the position of Research Associate/Fellow - OPM MEG Technology to support newly funded projects
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Thomas. Working in collaboration with teams from the School of Chemistry, the School of Pharmacy, the Faculty of Engineering. Our goal is to apply engineering biology techniques to an apoferritin nanocage
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at https://www.advance-he.ac.uk/equality-charters/athena-swan-charter and on our website https://www.nottingham.ac.uk/chemistry/about/athena-swan.aspx If you are interested on this opportunity, please click
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. The School of Chemistry holds a Silver Athena SWAN Award in recognition of our commitment to advancing women's careers in science. You can read more about what this means at https://www.advance-he.ac.uk
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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About the role This permanent position offers an exciting opportunity to further develop health economics research within the Nottingham Clinical Trials Unit (NCTU), an international centre
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they may need to further develop (and for which we will provide support). The applicant will also be expected to work side-by-side with staff recruited in computer science and the wider academic team
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background in computer vision and strong understanding of a range of AI methods. They must hold a PhD in computer science, with a focus on developing AI-based computer vision approaches. Expertise can be
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working with Johnson Matthey, but aligned with the EPSRC funded Programme Grant “Dialling up performance for on demand manufacturing” (EPSRC reference: EP/W017032/1). Our vision is to create a toolkit and