136 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions 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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. The post is offered at a competitive salary (Grade 6, Spine Point 33 on the KCL salary scale), and includes provisions for travel money, computer equipment and academic and leadership training. This is a
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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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, and human-centred computing. You will join the Vision & Human-Robot Interaction (VHR) Lab, a multidisciplinary research group working at the intersection of robotics, machine learning, and human
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. The post is offered at a competitive salary (Grade 6, Spine Point 33 on the KCL salary scale), and includes provisions for travel money, computer equipment and academic and leadership training. This is a
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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 performed. The successful candidate will design and deliver the 'Professional or Practice Based Research Dissertation (45 credits)' module, in which (supervised) students learn about emerging data governance