58 postdoc-in-thermal-network-of-the-physical-building Fellowship positions at University of Nottingham
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PhotoEmission Spectroscopy (ARPES)instrument. The successful candidate will work with Prof Peter Wadley, Dr Richard Campion, and Dr Kevin Edmonds within the Spintronics Group in the School of Physics and
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mosquito vector. This is to dissect the protein network and how key novel signalling proteins are involved parasite proliferation stages. The work will involves gene targeting both conditional knockdown and
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Spalding) as starting material to enzymatically produce terpene esters. The reaction scale-up will then be tested in a spinning mesh disc reactor. Reaction kinetics will be established for both batch and
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purposes. We are looking for a confident, organised researcher who can evidence: • A PhD, or equivalent in mathematics, theoretical physics or a relevant branch of engineering. • OR near to completion
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An exciting opportunity has arisen for an ambitious researcher to join our team working on a UKRI-funded project named African SCENe (Sustainable Community Energy Networks). This project aims
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An exciting opportunity has arisen for an ambitious researcher to join our team working on a UKRI-funded project named African SCENe (Sustainable Community Energy Networks). This 3-year project aims
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Applications are invited for a Research Associate/Fellow position to work on an ERC funded project ‘WATER-BLIND’ which seeks to uncover how roots sense water stress. Building on our recent
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of statistical physics and to make significant contributions to this area of research. The post is offered on a fixed term contract for up to three years, with a flexible start date, but preferably on 01 September
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and interview process. We offer a range of benefits, visit Your Benefits website to learn what we can offer you. We welcome applications from UK, Europe and from across the globe and we want to make
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entitled “White Matter Computation: Utilising axonal delays to sculpt network attractors”. The central aim of the project is to determine how dynamic patterns of neural activity evolve in a complex network