54 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" scholarships at The University of Manchester
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Barnes - mike.barnes@manchester.ac.uk and Dr Mahdieh Sadabadi - mahdieh.sadabadi@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience
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(michael.greaney@manchester.ac.uk ) and Dr Sarah Lovelock (sarah.lovelock@manchester.ac.uk ). Please include details of your current level of study, academic background and any relevant experience and include a
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equivalent) in a relevant science or engineering related discipline. To apply, please contact the main supervisor; Dr Zhang - dongda.zhang@manchester.ac.uk . Please include details of your current level of
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Dr Aaron Trowbridge - aaron.trowbridge@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your
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Characterize the molecular basis of enzyme function with spectroscopic, kinetic, and structural techniques. About the programme Join experts in industry and academia working to sustainably manufacture
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) and a Master’s degree merit (or international equivalent) in a discipline directly relevant to the PhD. To apply, please contact the main supervisor, Dr Kara Lynch - kara.lynch@manchester.ac.uk . Please
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up to a £5k/annum research training support grant for the full duration of the 4-year programme. Metal-ligand multiple bonding is a burgeoning area for making chemically novel structural motifs
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equivalent) in a relevant science or engineering related discipline. To apply, please contact the main supervisor, Dr Paul Campbell - Paul.Campbell-3@manchester.ac.uk . Please include details of your current
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an emphasis on reaction development and optimization. Training BioProcess aims to train the next generation of bio-innovators. Our interdisciplinary programmes prepare PhD students and researchers with the real
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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic