100 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at King's College London
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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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. 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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the country. We welcome students 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
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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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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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maintain a positive work environment. 5. Strong computer skills (proficient with MS WORD, Excel and web-based applications). 6. Eye for detail and ability to accurately document findings in written
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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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computer literacy (ability to access email and online training) 3. Experience of working in a catering environment 4. Understanding of all relevant health, hygiene, and safety regulations 5
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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