92 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" uni jobs at King's College London
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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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About us Our mission is to provide transformative, high-quality digital education, so students can learn, wherever they are. We collaborate with academics and professional services staff across
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how we teach, how and where our students learn and how we support them during their time with us. The Student Funding Officer will be responsible for a wide range of activities as part of the Student
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transform; a civic university at the heart of London; and an international community that services the world. Our ambitious Education Strategy sets out the actions that we must take to transform how we 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
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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