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to reduce inequality in high-income countries, and/or (3) the study of social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a
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process simulation, techno-economic analysis (TEA), and life cycle assessment (LCA) methodologies Strong computational skills, including proven expertise in programming environments (e.g., Python, Matlab
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adaptive platform designs. This will include contracting and programme management, delivery of work to time and target, dissemination of findings to academic and public audiences, and reporting to funders
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for the management and delivery of the Division’s training programme, and play a key role in developing strategy and policy in this area, as well as evaluating courses and events, and implementing new initiatives
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Assessment (HTA) Programme. This post will be based in the Department of Primary Care and Mental Health within the Global Mental Health Research Group and the Liverpool Review and Implementation Group (LRIG
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within the group of Suyang Zhang at the MRC Laboratory of Molecular Biology (LMB), within a programme aimed at elucidating the mechanism of transcription-coupled splicing. Specifically, the project aims
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technology development. Why become a KTP Associate? The KTP programme is designed to accelerate your career, expand your skills, and grow your professional network. You will have the opportunity to: Work on a
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such as computational social science, computer science, or cognitive science. They will have a demonstrable track record in studying humans and machine learning models, in the context of human social