112 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at King's College London
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passionate student body, we are always encouraging innovative and progressive collaboration, as well as new ways to work and learn. The Stores are part of the Faculty Office and provide supplies to office and
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(CAR-T) cell programmes in the UK with licensed and experimental CAR-T products being administered for patients with B-cell leukaemias, lymphomas, multiple myeloma, solid tumours and autoimmune disease
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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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Quantum Computing to join the Theoretical Computer Science group. As a Lecturer, you will ensure that our students will have a positive learning experience that is informed by up-to-date research and
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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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the country. We welcome students from all over the world, and teach them to engage in innovative and interdisciplinary approaches to understanding music and its experience. The Department hosts highly acclaimed
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computer literacy (ability to access email and online training) 3. Experience of working in a catering environment 4. Understanding of all relevant health, hygiene, and safety regulations 5
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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