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of sub-seasonal (2-4 week) forecasts. Other members of the team will be developing innovative machine-learning methods for global sub-seasonal prediction and downscaling for Africa. We aim to get the first
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this direction. The project aims to develop a comprehensive approach to software verification grounded in neural certificate technologies. Role Summary The Research Fellow will play a crucial role within the
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
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Street Hospital and University College London. Role Summary Analyse and interpret research findings and support their publication Contribute to generating external funding Develop and make contributions
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extension (subject to approval). This full-time role will be based at Exeter’s flagship Living Systems Institute. The successful applicant will develop new approaches to studying the behaviour of single
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will be able to work autonomously to develop research objectives, generate genetic and epigenetic biomarkers, produce accessible data reports, and make presentations at conferences and other events
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analytics. Collaborate with team-members to develop and implement automated platforms for chemical applications. 3. Document research output including analysis and interpretation of all data, maintaining
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child health. The position is based at the MRC Lifecourse Epidemiology Centre, and part of an NIHR-funded programme of research which aims to inform how people can be better supported to plan and prepare
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Are you an ambitious researcher looking to develop your skills for the challenge? Do you have a background in qualitative research with an interest in sustainability and storytelling? Do you want
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living with dementia. The successful candidate will work across a variety of tasks and research methods to evaluate or develop and implement technology for longitudinal assessment in the home environment