205 computational-physics "https:" "https:" "https:" "https:" research jobs in United Kingdom
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Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. We will consider applications to work on a
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investment in facilities, staff and buildings. This builds on our tradition of success that stretches back 200 years. The birth of the modern computer, the splitting of the atom, the founding principles
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the tailoring and adaptation of programme protocols. For more information on Peninsula Medical School please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For this role, you will need to be
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The opportunity The University of Liverpool is a key partner in a £14 million initiative (https://tinyurl.com/yc5z768m) to develop a sustainable, next-generation manufacturing facility, using
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of Engineering, Design & Physical Sciences Department Department of Electronic & Electrical Engineering Full Time / Part Time Full Time Position Title: Research Assistant in the design of AI Large Language Model
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Physics & Bioengineering with biomedical and clinical groups in the Faculty of Biomedicine. Hawkes (formerly Centre for Medical Image Computing – CMIC) was established in 2005 to bring together technical
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Deadline 6 Mar 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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to lead and expand a high-impact research programme within SRI. This strategic appointment will strengthen our rapidly growing research portfolio and reinforce the development of the newly launched London
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(FAD). About the role We are looking for a research fellow/senior research fellow to cover a senior research fellow/programme manager role on the Genetic and Non-Memory Led Dementia (GNMLD) talk project
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ERC funded project on the human gut-brain axis (https://cordis.europa.eu/project/id/865568 ). The ideal candidate will have strong expertise in data analysis related to gut microbiota and metabolite