157 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at KINGS COLLEGE LONDON
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computer use Understanding of the day-to-day functioning of a research lab Ability to manage lab supplies, stocks, and ensuring the lab is organised and tidy Desirable criteria Good organisational skills and
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global partnerships. With world-renowned researchers and a passionate student body, we are always encouraging innovative and progressive collaboration, as well as new ways to work and learn. Further
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general audience Desirable criteria Experience with machine learning Coding in PyTorch Evidence of published work simulating soft tissue mechanics Experience supervising junior team members and PhD students
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the learning technologist to maintain and enhance existing asynchronous training resources, as well as create new engaging materials for a range of audiences in digital health. The role also supports
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practical skills and procedures and their impact on the environment. Ability to apply learnt techniques to the work context. Clear spoken and written communication skills, with competent computer use and
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and blended learning across King’s College London. At the same time, you’ll benefit from being part of a creative and experienced team of developers within King’s Digital, working to make Moodle more
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meeting the growing demand for blended and online learning material. Our team works with world-class academics to design and develop blended and online courses and learning experiences. About the role
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use of data analytics and machine learning. Together, this Centre strand team will build a blended data resource and sets of case studies that can help to gauge the prevalence, forms, and distribution
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statistical or machine learning methods to complex datasets. Evidence of involvement in grant writing or development of independent research ideas. A commitment to teaching the next generation of researchers
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practice and policy. Our Executive Education portfolio is central to our mission to empower leaders and organisations through transformative learning. The Faculty incorporates seven departments as