92 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at King's College London
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are not limited to: Data-centric AI and ML Large-scale data analytics and intelligent data systems Responsible and trustworthy AI Applied machine learning and multimodal AI Data engineering, MLOps, and
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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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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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. 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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, 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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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
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potential for collaboration with researchers across the School, the Faculty, King’s, the UK and internationally. The role requires a skilled educator to teach undergraduate and postgraduate students in
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: - Dedicated learning days to support your career development - Hybrid and remote working arrangements and, - A culture of collaboration and teamwork We believe that our differences make us