66 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Imperial College London
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Ministries of Health and partner research institutes across 24 countries, to improve understanding of dengue and Zika virus circulation and interaction (https://www.imperial.ac.uk/news/articles/medicine/school
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are treated with full respect, and that any and all staff involved with this work show due consideration at every level. For further details, applicants are directed to: http://www.imperial.ac.uk/research-and
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full respect, and that any and all staff involved with this work show due consideration at every level. For further details, applicants are directed to: http://www.imperial.ac.uk/research-and-innovation
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As a Research Associate in Data-Driven Optimisation, you will work at the interface of chemical engineering, machine learning and automation, to develop next-generation workflows for the design and
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particular emphasis on preparing analysis-ready datasets that support downstream statistical and machine learning workflows. You will work closely with Dr Cynthia Sandor within a collaborative and
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knowledge across disciplines and rapidly acquire understanding of other disciplines. Statistical skills including regression models, distributed lag non-linear models, hierarchical models, machine learning
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We are looking for a creative and enthusiastic Research Assistant for a role focusing on Clinical Machine Learning and Natural Language Processing. You will be working on an exciting project, funded
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innovate through hands-on learning experiences. The workshop has a variety of tools from 3D printers and laser cutters to sewing machines and woodworking tools. This unique immersive environment provides
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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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Vessel Disease group. You will learn and perform physiological assessments including transcranial Doppler and cardiovascular physiology, MRI imaging studies including respiratory gas challenges, as