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coding capacity to the expression of innate immune antagonists, as powerful tools for discovery. About the role We are seeking a highly motivated candidate with a degree in a relevant subject (e.g. Biology
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of robust, open scientific software. This post is fixed term for 3 years You will develop and implement new computational methods and MLIP workflows, contribute to high-quality, maintainable open-source code
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including curriculum developments within further education or sixth form provision within a school Up-to-date knowledge and experience of SEND curriculum management and its developments and the SEND Code
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or a closely related field, and you will have a background in crystallisation and solid state characterisation. Knowledge of databases, and python coding is a must. The key responsibilities
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. Desirable criteria Ability to solve problems independently as part of a multi-disciplinary team Proficiency in use of univariate statistical packages (e.g. R, SPSS) and awareness of scripting/coding (e.g
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on the delivery of the standards outlined in Code C. Provide operational leadership, ensuring the centre runs efficiently. Work with the Deputy Director Specialist Resources and Technical Services to ensure
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dynamo. Project details The successful candidate will combine numerical simulations of existing and new magnetohydrodynamic (MHD) models implemented in our in-house code, with experiments using the Little
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well as an appropriate multidisciplinary PhD Must-have background: · Strong experience in X-ray imaging, tomography or closely related 3D X-ray methods. · Experience with reconstruction, scientific coding and
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, including large-scale, anonymised or pseudonymised datasets Understanding of NHS data structures, clinical coding (ICD-10, SNOMED CT) and/or electronic health records Understanding of research data governance
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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | 2 months ago
how administrative data can be better used to inform the prevention of serious violence. It will examine how homicide and serious-violence data are generated, coded, linked, and analysed. It will draw