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, including research assistants, PhD students and project volunteers. This is an exciting opportunity to contribute to world-leading research while shaping bold, practical solutions for people and planet
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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team, and independently, are essential. You will also provide guidance to less experienced members of the research group, including postdocs, research assistants, technicians, plus PhD and project
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of the research group, including postdocs, research assistants, technicians, plus PhD and project students. You must have: A relevant PhD/DPhil (or be close to completion), together with relevant experience in
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midwives, nurses, patient and public contributors, as well as NHS sites who are providing data for the programme. As a Medical Statistician you will contribute to a wide range of tasks across the project
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within a leading international research environment. About You To be considered for this position you should; • Hold a relevant PhD (or close to completion) or MSc level in a relevant discipline (e.g
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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We have a new and exciting opportunity for a Postdoctoral Research Scientist to join the Pandemic Science Institute’s (PSI) growing efforts in computational vaccinology and vaccine trial design. You
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background in materials characterisation you will be self-motivated, able to plan and deliver a commercial service to time and budget. You will have a PhD (or be near completion) in physical science and
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may also supervise PhD students and support junior colleagues. This post is full time and fixed term until 31/03/2028. Part-time working will be considered (minimum 0.8 FTE, 30 hours per week minimum