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for X-ray equipment, a proven ability to maintain and repair the X-ray equipment and communicate with users. You will also have an ability to manage multiple priorities in a fast-paced environment
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who are sociable, curious about others, strong in their purpose, and aligned with our values . Tasks Conduct theoretical research in physics, mathematics, or the mathematical foundations of AI and life
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. You must demonstrate that you have managed multiple tasks to deadline while working in collaboration with others. The post includes meetings with the project team and industry partners. The post does
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Electronic Health Records from people with epilepsy across multiple NHS hospitals in England and Wales. They are expected to have some experience working with NLP in general and LLMs in particular. Familiarity
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desirable. The successful candidate will be based in the Environmental Lab at the University of Southampton, with opportunities to collaborate with leading researchers across multiple institutions within EBIC
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equipment and communicate with users. You will also have an ability to manage multiple priorities in a fast-paced environment, excellent written and oral communication skills and advanced experience with
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. Multiple translational clinical studies seek to address these themes through our collaborators in the Royal Marsden. Overall, our mission is to cure more patients with fewer immediate and long-term side
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community Opportunities to co-produce software with multiple research institutions Embedded in a cutting-edge data science team with extensive research support Flexibility Meets Impact While based in Bristol
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To independently develop research objectives and grants in Women’s Health aligned to Centre thematic projects or proposals for own or joint research including research funding acting as a PI, as required. To develop
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Electronic Health Records from people with epilepsy across multiple NHS hospitals in England and Wales. They are expected to have some experience working with NLP in general and LLMs in particular. Familiarity