123 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at King's College London
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research into new and improved ways of understanding and treating mental ill health ( http://www.kcl.ac.uk/ioppn/ ). The research role is based in the Psychology Department, one of the world’s largest
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skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning approaches. Experience in
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: https://www.kcl.ac.uk/bmeis . There is an unmatched infrastructure within the School to support cutting-edge translational research, including one of the UK’s only 7 Tesla MRI systems located inside a
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AI foundations and machine learning to learners from varied academic and professional backgrounds. 3. Ability to develop and deliver high quality and innovative teaching, including teaching
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patients in Dr Sreedharan’s clinic. In the lab, the student will learn a broad pallet of techniques to enable them to perform cutting-edge research to develop urgently needed treatments for ALS. The student
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of understanding and treating mental ill health ( http://www.kcl.ac.uk/ioppn/ ). The research role is based in the Psychology Department, one of the world’s largest academic groupings of clinical and health
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& Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular
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significant growth with substantial investment in new appointments. Further information may be found at: http://www.kcl.ac.uk/physics About the role Ariel Space Telescope was selected as the fourth medium class
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scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About The Role Applications are invited for a talented and enthusiastic postdoctoral
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focused on hands-on AI development, including topics such as: Programming for AI (e.g. Python-based workflows, data pipelines, model training and evaluation) Applied machine learning and deep learning