99 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at King's College London
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4500 were recruited to research. More information: https://www.kcl.ac.uk/bmeis About The Role This role provides an exciting opportunity for a dynamic and enthusiastic individual to join our team as an
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students, and offers an exceptional multidisciplinary environment for cutting-edge cardiovascular and metabolic research. Learn more about our school (https://www.kcl.ac.uk/scms ) Our research spans
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, of which over 4500 were recruited to research. More information: https://www.kcl.ac.uk/bmeis About The Role This role provides an exciting opportunity for a dynamic and enthusiastic individual to join our
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. This role will oversee a Phase 2/3 multi-arm, multi-stage (MAMS) trial evaluating the safety and efficacy of repurposed biosimilars and biologics in adults with epidermolysis bullosa (EB). https
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such as: Systems security, Security engineering, Security testing, Computer forensics, AI for security and privacy, Security and privacy of AI. Our department addresses computer science challenges from a
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, registers and other clinical studies Knowledge and practical application of various statistical packages, such as R and Python Ability to adapt and/or develop statistical and machine learning methodology
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London’s School of Biomedical Engineering & Imaging Sciences (BMEIS) and the Royal Brompton Hospital’s Imaging Department in Chelsea. The School of BMEIS (https://www.kcl.ac.uk/bmeis ) is committed
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collaborations across leading institutions (KCL, UCL, and Stanford), supporting clinical trial-related activities of novel digital mind-body therapies, and facilitating research dissemination through publications
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about the faculty, please see our website: https://www.kcl.ac.uk/sspp. About the role: Primarily affiliated to SSPP’s School of Global Affairs (SGA), the Student Engagement Officer role is a fantastic
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application of machine learning to metamaterials modelling 2. Experience in modelling molecular interactions 3. Experience in modelling of mass transport at the nanoscale Downloading a copy of our Job