114 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at King's College London
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AI, machine learning, and deep learning. This is a fixed-term position, with the potential for extension. This is a full-time post 35 hours per week, and you will be offered a fixed term contract until
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of Psychological Medicine focuses on the interface between psychiatry and medicine, psychiatry and occupation, psychiatry and the military, and psychiatry in different settings. The disorders of interest are those
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. We are looking for a computer scientist with expertise in both front-end and back-end development. Specifically, the objectives of the post holder will be to develop a smartphone app to instruct
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orders and invoicing. Highly computer literate and demonstrable ability to use the Microsoft Office, including Excel, Word, SharePoint and Teams. Desirable criteria Prior experience supporting NHS/academic
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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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, 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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skills 3. Computer literacy including word processing, spreadsheets, databases and internet use 4. Evidence of significant understanding of technology transfer in an academic environment 5