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to work with modern massively-parallel simulation codes. Candidates must have (or be close to completion of) a PhD in astrophysics or a related subject, and a BSc/MPhys (or equivalent) degree in physics
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Innovation (UKRI), focusing on populations with multiple long-term conditions. You will contribute to a social care initiative, developing and testing an AI-informed digital tool to help individuals with
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outcomes using design practices. The role is to contribute to a programme of research in partnership with Glasgow University and Glasgow Centre for Population Health to co-develop Community food markets as a
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language data taken from multiple sources: ongoing fieldwork, previous studies, text corpora and newly-generated reconstructions, as well as well as the results of computational simulations and artificial
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language data taken from multiple sources: ongoing fieldwork, previous studies, text corpora and newly-generated reconstructions, as well as well as the results of computational simulations and artificial
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, and improve linkages between atmospheric chemistry and public health research. The position is part-time and will require close interaction with parallel research activities at the University
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of the KIS Programme Manager and KIS Principal Investigator. The post-holder will also work collaboratively with funders, NHS staff, public members and other stakeholders to plan and deliver high-quality
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organisation, and with Homerton College, Cambridge, as well as with multiple external partners. We are seeking a talented research associate (Grade 7) or assistant research professor (Grade 9) with strong skills
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Innovation (UKRI), focusing on populations with multiple long-term conditions. You will contribute to a social care initiative, developing and testing an AI-informed digital tool to help individuals with
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opportunities beyond the course of this grant. This is a two-year full-time role. You’ll be working as part of a larger team on a project funded by NIHR Health and Social Care Delivery Research Programme