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, Rwanda, and Ethiopia). The group will work with partner organisations, including local governments and the NGO GiveDirectly. There are several large-scale randomized controlled trials and large-scale data
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boundaries of what robots can achieve. Our work spans diverse domains — from flying and grasping to driving and exploring — and we are the only group in the UK specialising in large-scale mobile autonomy, both
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to running, from haptics to driving, from exploring to planning. We are the only group in the UK that specialises in large-scale mobile autonomy - both indoors and outdoors. We validate our thinking and
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issues in handling large datasets, and collecting data and undertaking appropriate analysis of data. Informal enquiries can be addressed to Prof. Stefan Piechnik - stefan.piechnik@cardiov.ox.ac.uk For more
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(ICU) to the home, improving quality of care and breaking down boundaries between hospital, community, and the home. The CCRG group specialises in analysing large datasets of routine healthcare data
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research environment bridging molecular biology, genomics, and computational data science, the post focuses on integrating enhancer biology with large-scale synthetic biology and single-cell multiomic
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the department at Divisional and University HR networks and working groups. The Department of Experimental Psychology is a large, internationally recognised department with a high volume of academic activity and a
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large, internationally recognised department with a high volume of academic activity and a fast-paced, research-driven culture. We are collaborative, friendly and ambitious, with a strong commitment to
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). The successful applicant will be responsible for the day-to-day management and administrative support for a large portfolio of research studies, studentships and fellowships funded through the National Institute
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, including P11Ds and Pay As You Earn Settlement Agreement (PSA) records. The role also involves overseeing a range of processes involving the maintenance of large volumes of varied and often complex data