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). The salary for this post is £40,497 to £48,149 per annum. Your skills and attributes for success: The ability to use mainstream data science programming languages (such as R and Python) for data extraction
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Contract Type: Fixed Term contract up to December 2026 Role Summary TWICEASGOOD, a five-year programme of research (2022-2026) funded by an ERC Advanced Grant, aims to better understand how
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or ancestral recombination graphs. You have experience in a high-level programming language. You are interested in developing open-source software for academic and applied work. You are independent, organised
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the impact of a large curriculum change project (Curriculum Redefined) that spans all undergraduate programmes. Stakeholders include students, module and programme leads, and student education leaders across
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analytical methods for both text and image to social media platforms, and of conducting computational analysis of social media. Proven ability to devise and manage a strategic work-plan and to collaboratively
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of Social Sciences’ PhD programme within relevant disciplines in the social sciences or the humanities. The master’s degree must be of high quality (grade A or B) and within a specialisation of relevance to
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acceptable but will need to be demonstrated through certified evidence of substantial training and experience that has qualified candidates to plan, direct and perform an independent research programme with
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innovative research culture in the Centre. The Research Fellow will use their research knowledge, skills and experience to contribute to the design and delivery of an ambitious research programme within
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, direct and perform an independent research programme with substantial deliverables. Ideal candidates will also have expertise in sustainable cities and communities, human-environment interface and the
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. Candidates must also have excellent programming skills in a relevant scientific language, such as Mathematica or Python, to facilitate advanced data analysis of measurement outputs. Apart from being able