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between proteins, small organic molecules and water, at a fraction of the cost of quantum mechanics. They will integrate the workflows into drug discovery pipelines at Newcastle University and/or
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mechanics. They will integrate the workflows into drug discovery pipelines at Newcastle University and/or at the industry partner, and thereby showcase the potential of physics-based modelling for design of
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funded project and will be supervised by Professor Lidija Siller at Newcastle University, involving collaborations with colleagues in Norway. The project spans the interface between chemistry and chemical
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single crystal X-ray diffraction analysis. The project builds on previous work by the groups of Dr MJ Hall and Prof MR Probert at Newcastle University (Chem 2020, 6, 1755-1765; Chem. Soc. Rev. 2023, 52
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Errington , (Newcastle University) Dr Simon Doherty (Newcastle University) Dr John Runnacles, (Mitsubishi Chemical UK) Dr Adam Cullen (Mitsubishi Chemical UK) Eligibility Criteria You should have, or expect
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. The project builds on previous work by the groups of Dr MJ Hall and Prof MR Probert at Newcastle University (Chem 2020, 6, 1755-1765; Chem. Soc. Rev. 2023, 52, 1995-2010; JACS 2023, 145, 23352-23360), and would
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This studentship is funded by EPSRC DTP and Mitsubishi Chemical UK. Supervisors Dr John Errington , (Newcastle University) Dr Simon Doherty (Newcastle University) Dr John Runnacles, (Mitsubishi Chemical UK) Dr Adam
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team across mechanical engineering and chemical engineering at Newcastle University and be able to learn different transferable research skills and hands-on experimental skills. If you are interested in
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research team across mechanical engineering and chemical engineering at Newcastle University and be able to learn different transferable research skills and hands-on experimental skills. If you are
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to advance the development of deep neural networks for real-time spectroscopic analysis. Based in Chemistry at Newcastle University, as a Research Associate you will develop and use supervised machine learning