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mentoring junior colleagues Desirable criteria Experience in handling complex data from large observational dermatology studies Evidence of contribution towards developing and submitting research funding
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research, primarily quantitative and mixed methods studies, as part of part of a large NIHR mental health grant with the Faculty of Medicine and Health Sciences. The post-holder will support development and
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questions. Work with asset owners will also concentrate on determining the value of the data. Role Summary Design and conduct large-scale laboratory and field trials using both classical as well as quantum
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Medical Research Institute (SAHMRI). This is an excellent opportunity for an individual eager to develop expertise in big data analytics, expand their methodological skillset, and contribute to impactful
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. PenARC is a collaboration between the Universities of Exeter, Bristol and Plymouth, with academic staff working across three sites. For more information about our work please visit: https://www.arc
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facilities and heritage railways. Responsibilities will include coordinating demonstration logistics, collecting and analysing experimental and operational data, evaluating machine performance, and preparing
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pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge
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collaboration, and assisting with the preparation of a competitive large scale funding application to a major external funder, including coordination of supporting documentation, budgeting information, and
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community of over 500 staff and more than 300 PhD students engaged in cutting-edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences This is an
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representativeness of large health datasets; conducting systematic evidence syntheses; qualitative data collection and analysis; discrete choice experiments Analyse and interpret data Apply knowledge in a way which