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to deliver defibrillators. Collecting and analysing qualitative and/or quantitative data across multiple work packages. Working closely with 999 call handlers, drone operators, public contributors, and
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translation and commercial readiness of our AI-informed digital tool for use in NHS and social care. This includes contributing to early work aligned with the Digital Technology Assessment Criteria (DTAC
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criteria. In the School of Health Sciences, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you are excited about this role but your experience does not align perfectly with
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Funding team. You will be experienced in working across multiple teams, meeting tight deadlines, and taking the initiative to support day-to-day tasks effectively. You should have experience with Microsoft
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for Multi-Agent Decision-Making, https://oceanerc.com ). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making
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West Nilotic’, led by Matthew Baerman. The successful candidate will perform a key role in managing, processing and analyzing language data generated across the multiple teams that make up the project
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West Nilotic’, led by Matthew Baerman. The successful candidate will perform a key role in managing, processing and analyzing language data generated across the multiple teams that make up the project
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. Main Duties Research and Innovation: Develop innovative research programmes aligned with IDAI's research themes Propose, plan, and execute research projects under the IDAI banner Contribute to grant
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research outputs; (b) the research work you will conduct in your fellowship aligned with sustainable and resilient built environment research agenda; (c) how this fellowship will help in the capacity
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(up to four pages) including (a) a description of your recent work and any planned research outputs; (b) the research work you will conduct in your fellowship aligned with sustainable and resilient