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to real-world actions. This is an exciting opportunity to contribute to foundational work at the intersection of AI safety and autonomous system deployment. You will be responsible for designing experiments
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Postdoctoral Research Associate – AI-Design Lab Full-time, fixed-term until 31 July 2027 The AI-Design Lab is a major international collaboration between The Royal College of Art (RCA) and The Hong
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focused on integrating synthetic biology, AI, and multi-omics technologies to decode and design gene expression regulation for human cell engineering. This role is based in Randall Centre for Cell
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, interdisciplinary research agenda. Our work spans five interwoven streams – policing, law and policy, human behaviour, technology, and design – to produce collaborative outputs and interventions that inform national
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contribute to the study and sequencing design, collaborate with experimental biologists to validate the hypotheses, and advise and supervise computational staff and students. You will write research articles
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AI technologies that will revolutionize how we understand and respond to human behaviour in both real-time and long-term contexts. You will play a crucial role in the testing and design of novel
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, and conducted the bulk of data collection. The primary role of the PDRA is to support the design and UK-wide tour of a playhouse tent which will communicate children’s experiences to diverse audiences
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neurodivergent children and their families, and conducted the bulk of data collection. The primary role of the PDRA is to support the design and UK-wide tour of a playhouse tent which will communicate children’s
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services (ECO-WADE).¿ You will plan, organise and lead fieldwork on an upland blanket bog in North Wales, and make measurements of greenhouse gas fluxes, water table depths, and water chemistry. This is part
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approaches, as well as being able to build on expertise in bacteriology, cell biology, structural biology and biochemistry in the group. You should hold, or be close to completion of, a PhD/DPhil in biological