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to the 31st January 2027 and is funded by OpenPhilantropy. We are seeking candidates for a research project focused on benchmarking Agentic LLMs. Specifically, we are looking for a PDRA to lead our project
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of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) and is fixed term for 24 months. The researcher will develop multi-sensor 3D reconstruction algorithms to fuse
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a postdoctoral researcher to work on a new project in the area of LLMs/multi-agent systems, under the direction of PI Professor Michael Wooldridge. The post is a full-time, fixed term position
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of contributing to publications and giving presentations. Skills in classical Mongolian and experience of research on Mongolian history and independently managing a discrete area of a research project. This post is
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for working on either theory or practice on session types. The post holder will be responsible for publishing the results and collaborating with the partners and group members across the projects. This role is
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of independently managing a discrete area of a research project and experience of actively collaborating in the development of research articles for publication are desirable, but not essential. The post is fixed
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scale project management, coordination with project partners at the University of Cambridge and organising your activity to meet deadlines. The post will be based in the Department of Chemistry, Inorganic
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structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise
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of independently managing a discrete area of a research project and experience of actively collaborating in the development of research articles for publication are desirable, but not essential. This post is fixed
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of the project. Applicants should hold, or be close to completion of, PhD/DPhil in Biology or a related subject. You should have a high level of competence in cell biology and relevant experience demonstrated by