119 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions 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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, 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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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 lectures, conferences
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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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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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intellectual and research leadership within the school and discipline. Lead high-impact, long-term research programs and secure major grants. Mentor PhD students, postdocs, and tenure-track faculty. Teach
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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