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Performance Computing, computational and cutting-edge data analytics methods, and growth and retention of vital capacity in research software engineering and technical R&D are at the core of this endeavour. We
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interdisciplinary collaborations. Leading-edge platforms including High Performance Computing, computational and cutting-edge data analytics methods, and growth and retention of vital capacity in research software
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Postdoctoral Research Associate in the Institute for Computational Cosmology and Centre for Extragalactic Astronomy, Physics Department The Role We are seeking a recent PhD astrophysics graduate
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are seeking a recent PhD astrophysics graduate to work on the analysis and interpretation of data from cosmological hydrodynamics simulations of galaxy formation, particularly from the COLIBRE project
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strong transferable skills and experience from different careers and sectors, potentially in organisational change, researcher or research development, or data analysis and evaluation methods. You may have
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, or data analysis and evaluation methods. You may have worked in research administration for a number of years and be looking for another opportunity. You may have recently finished a PhD or postdoctoral
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their PhD, although career breaks for parental leave and/or health reasons will be considered. This is because the roles are aimed at early career academics who would benefit from a structured development
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extract key data points from published papers and reports, building and enriching a comprehensive MoSS database. Machine Learning will then be applied to this database, alongside quantum chemistry methods
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MoSS with various diffraction methods, to develop code to automate the characterisation of MoSS with diffraction and other methods. The successful candidate will be involved in the supervision of a PhD
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a PhD in Physical Sciences or a closely related field, and you will have a background in X-ray diffraction. Knowledge of databases, crystallisation and other characterisation methods for molecular