50 parallel-computing-numerical-methods-"Multiple" Postgraduate research jobs in United Kingdom
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component (e.g., a postgraduate dissertation) and have a strong grasp of computational and statistical methods. You will also have excellent communication skills. This is post is part-time (0.50 FTE), fixed
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Research Assistant. The group aims to identify, understand, and develop therapies for rare genetic disorders. The group is primarily computational but partners with multiple international labs (including
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Research Assistant. The group aims to identify, understand, and develop therapies for rare genetic disorders. The group is primarily computational but partners with multiple international labs (including
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Research Assistant within our Populations Theme, exploring how cardiovascular disease and multiple long-term conditions intersect—especially across diverse ethnic groups. Hosted by the Leicester Real World
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, to be part of this exciting programme of work, spanning multiple strands. Your experiences to date will include conducting qualitative research (qualitative data collection and management) in a health
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care received by patients within their own homes. STALLED – mixed-methods study exploring what works to reduce ambulance handover delays and the impact of delays on patient safety, experiences and care
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students and early-career researchers in good PPIE practice and public engagement methods. To be actively involved in the co-production of an AI-enabled glaucoma triage platform, ensuring that patient
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, Physics, or a related field. Experience with quantum chemical methods and high-performance computing is essential, alongside strong analytical and problem-solving skills. Evidence of contributions to open
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United Kingdom Application Deadline 7 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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safe adaptations to overheating in children’s hospitals". This 8-month Development Award project (NIHR504238) is Phase 1 of a proposed two-phase research programme. It is funded by the NIHR Policy