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part-time Research Assistant (0.5 FTE) for a 8-month fixed-term position. We welcome applicants with expertise in Computational Social Science, Data Science, Informatics, or Social Data Science. The
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by programme. Funding provider The University of Manchester Faculty of Science and Engineering Level(s) of study This funding is available to students undertaking the following types of study: Allowed
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(both in-person and online) with the relevant industries. The RA will analyse the current landscape of Materials Science in Higher Education (degree courses, program content and students). The RA will
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applications that are interested in pursuing interdisciplinary projects incorporating elements of computational science methodologies in the context of social science challenges spanning the remits of the UK
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-funded project aimed at generating a benchmark dataset of excited-state properties for organic semiconductor molecules. This work will directly contribute to advancing open science in computational
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project, Semiconductor: Skills, Talent and Education Programme (STEP ), funded by the Department for Science, Innovation and Technology (DSIT), in collaboration with UK Electronics Skills Foundation and
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the role The role is for a 0.8 FTE research assistant (RA) to work on a project, Semiconductor: Skills, Talent and Education Programme (STEP ), funded by the Department for Science, Innovation and
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—using robust coding and data science techniques. A comprehensive quality control framework will be built to identify and correct errors, apply bias adjustments, and assess data quality. State-of-the-art
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applications that are interested in pursuing interdisciplinary projects incorporating elements of computational science methodologies in the context of social science challenges spanning the remits of the UK
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methodologies, from observational to computational and population-level modelling. Such projects and associated methods are made possible through the linkage of administrative and health data, increasing demand