46 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at King's College London
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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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wireless communications for three decades. For further information, please see here: https://www.kcl.ac.uk/research/ctr About the role: 5G networks are a key enabler for the economy and society’s growing
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( https://www.kcl.ac.uk/research/photonics-nanotechnology ) involves the development and applications of advanced photonic technologies and of novel nanomaterials to address modern challenges in photonic
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including grade 7. Visit the [Centre for Research Staff Development](https: //www.kcl.ac.uk/research/research-environment/professional-development/centre-for-research-staff-development) for more
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| King's College London ). The research in Photonics & Nanotechnology Group ( https://www.kcl.ac.uk/research/photonics-nanotechnology ) involves the development and applications of advanced photonic
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structure and standards, medical coding, knowledge and terminology representation, medical decision support. Knowledge of data management, SQL, relational databases, UNIX, scripting languages, common text
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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