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funding. You will be responsible for the development of novel acquisition, reconstruction, image analysis and/or modelling methods for cerebrovascular magnetic resonance imaging (MRI) to improve
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the vibroacoustic complexity of environments, and developing experimental methods to increase accessibility of this area of research to the wider scientific community. You will lead, plan, execute and trouble-shoot
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density functional theory (DFT) and many-body perturbation theory (MBPT) based methods, in order to predict photophysical properties of novel semiconductors. The theoretical and computational predictions
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. You will have advanced skills working with relevant software, in particular Praat and R. You will have experience with devising methods for complex data sets, multivariate statistics, writing up
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to the Principal Investigator (PI), the Research Associate will support the delivery of an NIHR funded mixed-methods research project exploring decision-making about extending endocrine therapy beyond five years
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, particularly by providing expert advice in crystallography in our existing projects and by leading the development of new, automated methods for the discovery and characterisation of crystalline materials using
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to answering more established research questions, as well as helping to shape the development of others. The successful applicant will work alongside experienced clinical and mixed-methods researchers, and
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to rapidly and scalably write entire genomes of microbes and phages and to leverage these methods to i) genetically isolate organisms, ii) investigate host-pathogen interactions, iii) provide a platform for
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ongoing research activities within the School in a highly collaborative academic environment. The role will also involve training and supervising PhD students and junior research associates in
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techniques and electron diffraction methods \[MR1\] is essential for the role, and candidates should make their relevant experience for materials discovery clear in their application. The post is available