133 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at King's College London
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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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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
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: - Dedicated learning days to support your career development - Hybrid and remote working arrangements and, - A culture of collaboration and teamwork We believe that our differences make us
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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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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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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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: Essential criteria Be enrolled in or hold a first degree in biomedical engineering, robotics, or relevant discipline. Possess sufficient specialist knowledge in computer aided design, systems integration, and
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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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About us: The postholder will work in the Digital Education team within the IT directorate. The Digital Education team (DigiEd) works to enhance teaching, learning and assessment for staff and
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to write technical and non-technical papers including survey reports as required 8. Excellent computer skills using Microsoft Office particularly Microsoft Excel Desirable criteria 1. NEBOSH 2