28 coding-"https:"-"FEMTO-ST"-"CSIC"-"PhD-Jobs" Postdoctoral positions in United Kingdom
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modelling, and advanced regression techniques, ensuring transparency and reproducibility. Use and maintain high standards of coding practice for data processing and analysis, preferably using R, including
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information: For further information and details of how to apply, please visit our website http://jobs.jic.ac.uk or contact the Human Resources team on 01603 450814 or nbi.recruitment@nbi.ac.uk quoting
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/InstituteImperial College London, Electrical and Electronic EngineeringCountryUnited KingdomGeofield Contact City London Website http://www.imperial.ac.uk Street Exhibition Road Postal Code SW7 2AZ STATUS: EXPIRED X
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at https://jmhutson.webspace.durham.ac.uk and a description of recent research achievements and current projects is available in a link from there. The successful applicants will work to understand
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, strong coding and analysis skills including using multivariate pattern analysis, and knowledge of the field of flexible cognition, top-down control, selective attention, and frontoparietal cortex. The post
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crystals is a must. The key responsibilities are to develop a database of MoSS, to study MoSS with various diffraction methods, to develop code to automate the characterisation of MoSS with diffraction and
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-dimensional data such as structural and/or functional neuroimaging or omics information, and/or temporal data as recorded using smartphones and/or wearable devices Excellent statistical and coding skills with
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of galaxy formation, particularly from the COLIBRE project Develop software for the analysis of simulation data Contribute to further developments of the COLIBRE code This post is fixed term for 12 months
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coding experience (both Python and C/C++), and a record of working in a Linux environment and related scripting languages. What we offer At the university of Oxford your happiness and wellbeing at work is
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, Future Energy Systems and Advanced Materials, Electronics and Communications) and eight Research Nodes which group staff under technical expertise and interest (see https://www.durham.ac.uk/departments