92 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at King's College London in United Kingdom
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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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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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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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, with proficient computer use and strong interpersonal and influencing/behavioural skills. Proactive and responsive to contacts in immediate area, across the wider organisation and externally (e.g
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panels Experience of innovative and effective approaches to teaching, including distance learning, blended learning, digital learning and or simulation (virtual and/or face to face), with appropriate
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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
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for genotyping Clear spoken and written communication skills, with proficient computer use and strong interpersonal and influencing/behavioral skills Proactive and responsive to contacts in immediate area, across
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of online learning activity across King’s. The department has three divisions: content production; operations; and student success. The Student Success function was established in 2024 and provides a