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, using a global network of the world's largest and most advanced radio telescopes to search for signatures of technology. The project is undertaking a detailed census of hundreds of nearby stars, in
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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Role: Research Assistant - SEUPB TRACE Department: Global Business & Enterprise, School of Computing, Engineering, and Intelligent Systems Grade: 6 (£33,020) Responsible to: Principal Investigator
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. You will have some experience and sufficient specialist knowledge in the discipline to work effectively within the research programme. You will have experience with applying conceptual reflection
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safe non-invasive brain scan technology that uses near-infrared light). You'll also interact with clinicans and people with lived experience. The successful candidate may be required to obtain an ATAS
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team, analysing and interpreting spatial transcriptomic data. You will work on the Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and
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: equity, diversity and inclusion, and open science • Be committed to patient-centred research Hold a PhD in epidemiology, health informatics, medical statistics, or a related discipline • Have experience
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. The bioinformatic work will be performed using high performance cloud computing solutions. This project offers the opportunity to utilise emerging sequencing approaches and develop novel laboratory and bioinformatic
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Consortium). The post is based in the School of Health Sciences within the Applied Health Sciences Department, and the post holder will assist with delivering the programme of work associated with the PHRESH
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About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular, tissue and systems level of