71 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Imperial College London in United Kingdom
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contribute to the development and enhancement of reporting tools and frameworks, utilising artificial intelligence and machine learning to maximise the use of data, while ensuring that data is accessible
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computer literate, (e.g. Microsoft Word, Excel, Outlook) and experience of a computerised diary/booking system (ideally Kx) required Have excellent interpersonal and communication skills Tact and diplomacy
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clinical research groups at the National Heart and Lung Institute at Imperial College London applying statistical, machine learning and simulation approaches to combine experimental and clinical data with
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. The Language Coordinator is part of a team which contributes to the institutional Teaching & Learning Strategy by offering a high-quality language teaching service tailored to Imperial students’ needs and by
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academia, industry, or a startup. Learn from world-leading experts in the field, including focused ultrasound arrays and engines from Timothy Hall, Co-Founder of Histosonics, and brain drug delivery
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mind, a collaborative work ethic and proven interest in ensuring that students have the best learning experiences in an outstanding medical school you should apply using the links provided. Applicants
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(ECRI), you will play a vital role in delivering high‑quality learning, development and support activities that empower Imperial’s early career researchers. Working as part of a collaborative and dynamic
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supportive, collaborative and diverse working environment aligned with Imperial’s values of Respect, Collaboration, Excellence, Integrity and Innovation. Opportunities for professional learning and development
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laboratory techniques, analytical chemistry, bioprocessing, or a related discipline, with a willingness to learn and develop technical skills. The role offers the opportunity to work within a collaborative
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practice through the knowledge and insights that work generates — sharing lessons learned and engaging with international partners to advance understanding of how AI can drive sustainable economic and