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are looking to recruit a PDRA to join a collaborative project funded by the UK Atomic Energy Authority in partnership with Atkins and the National Physical Laboratory. The project will develop and test organic
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machine learning for functional materials design. You should have a PhD in Computer Science, Chemistry, Physics, Materials Science, or a related discipline, with a commitment to developing collaborative
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environment that this creates is central to all of the groups work. You must therefore be able to interact effectively with colleagues with complementary skills (e.g. structure prediction or measurement physics
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the NMR communities in the physical and life sciences with a broad range of research communities. We will consider part-time working and remote working. You should have a PhD in NMR spectroscopy applied
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relevant methods are population dynamics theory (e.g. integrodifferential equation models or point process models) and Bayesian statistical methods (customising routines rather than simply using Bayesian
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for candidates who are in possession of a PhD in physics, electronics engineering or equivalent. Experience in silicon detectors, device simulation software (TCAD, SPICE), electronics for experiments and DAQ
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collaborators. The aim is to automate where possible to free up researcher time. You should have a PhD in relevant field (Chemistry, Computer Science, Engineering, Materials Science or Physics etc.), expertise in