92 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at King's College London in United Kingdom
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. We are looking for a computer scientist with expertise in both front-end and back-end development. Specifically, the objectives of the post holder will be to develop a smartphone app to instruct
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About us: At King’s College London, our Engineering Team plays a critical role in ensuring our facilities are safe, efficient and well maintained to ensure our vibrant community is able to learn
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demonstrable ability to learn relevant technologies 5. Logical and methodical approach to problem solving and technical troubleshooting 6. Strong customer service ethos (able to cater for technical
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as trainers and observers in the GMP cleanrooms. The post holder will learn a wide range of molecular and cell biology skills such as cell culture, transfections, QPCR, flow cytometry etc. They will
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create an exciting and interdisciplinary environment. About the role The Lecturer in Health and Social Care Policy will be expected to teach on the Masters Degree in Health and Social Care Policy (open and
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. Practical problem-solving skills and the ability to think analytically 8. Strong computer skills, proficient with Microsoft Word and Microsoft Excel Desirable criteria 1. Experience of setting up
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are caused and how people respond to treatments. We will investigate blood and cerebrospinal fluid from patients and use machine-learning to identify the treatment-relevant immune processes, with an emphasis
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, with proficient computer use and strong interpersonal and influencing/behavioural skills. Proactive and responsive to contacts in immediate area, across the wider organisation and externally (e.g
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real drive to learn, grow, and build a professional career in project delivery. Working alongside experienced colleagues, the postholder will help coordinate project activities, maintain positive
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of online learning activity across King’s. The department has three divisions: content production; operations; and student success. The Student Success function was established in 2024 and provides a