102 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at King's College London
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contexts, such as data visualisation, immersive, or extended reality projects: - Machine learning: methods and how to responsibly apply in applications. - Data visualisation: methods and techniques
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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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software development networks. Knowledge of/experience with tools and practices related to one or more KDL’s priority Research Themes, such as: a. Machine learning: methods and how to responsibly apply
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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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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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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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maintain a positive work environment. 5. Strong computer skills (proficient with MS WORD, Excel and web-based applications). 6. Eye for detail and ability to accurately document findings in written
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About us: The postholder will work in the Digital Education team within the IT directorate. The Digital Education team (DigiEd) works to enhance teaching, learning and assessment for staff and