41 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" uni jobs at King's College London
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students, and offers an exceptional multidisciplinary environment for cutting-edge cardiovascular and metabolic research. Learn more about our school (https://www.kcl.ac.uk/scms ) Our research spans
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London’s School of Biomedical Engineering & Imaging Sciences (BMEIS) and the Royal Brompton Hospital’s Imaging Department in Chelsea. The School of BMEIS (https://www.kcl.ac.uk/bmeis ) is committed
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about the faculty, please see our website: https://www.kcl.ac.uk/sspp. About the role: Primarily affiliated to SSPP’s School of Global Affairs (SGA), the Student Engagement Officer role is a fantastic
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of these programmes. The successful candidate will be appointed to a research group and will have the opportunity to contribute to cross-cutting hubs (see https://www.kcl.ac.uk/informatics/research/groups ). Research
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About Us Philanthropy & Alumni Engagement (P&A) provides a fundraising and alumni engagement function in support of King’s College London. We are proud to work with colleagues across the university
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involvement in collaborative and independent research. Due to the nature of the role, regular onsite attendance (at least 3 days p/w) will be required, as well as occasional out of hours work. This is a full
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(35hours p/w) and will be offered as a fixed term contract to November 2026. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential
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About Us Philanthropy and Alumni Engagement (P&AE) provides a fundraising and alumni engagement function in support of King’s College London. We are proud to work with colleagues across the university and
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calmly and efficiently under pressure 7. Good teamwork skills. 8. Confident in delivering training sessions to the team. 9. Good understanding of safe working practices including COSHH and colour coding
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evidence of expertise and completed research outputs Understanding of AI and, especially, deep learning techniques, with a demonstrable understanding of LLMs Proven ability to write code in Python Experience