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University in St Louis and Nationwide Children’s Hospital in Ohio and is funded by the US National Institutes of Health. This is a fantastic opportunity for a candidate to develop new machine learning and
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wider subject area or subject specialism A3 Knowledge and hands on experience of radar sensing and machine learning Desirable: B1 An awarded (or recently submitted or near completion) PhD in subject
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) or equivalent in a relevant subject or a cognate discipline with specialist theoretical and practical knowledge of machine learning/AI and cloud-based computing/visualisation and its use in medical diagnostic
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experience in a related field, appropriate to an early career researcher C12 Technical skills to apply machine learning techniques to classify animal behaviour from accelerometer data Experience Essential: E1
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specific skills including machine learning and/or programming C2 Research creativity and cross-discipline collaborative ability as appropriate C3 Excellent communication skills [oral and written
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, theoretical and practical knowledge of computer programming, machine learning and an interest in synthetic chemistry. A3 A comprehensive and up-to-date knowledge of current issues and future directions within
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strategies for 3G detectors. 3. Develop prototype analyses that may leverage machine learning and GPU acceleration techniques. 4. Document research output including analysis and interpretation of all data
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Proven ability to deliver quality outputs in a timely and efficient manner. C2 Good programming skills and experience in deploying machine learning techniques in quantum device and circuit design and
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Job Purpose You will contribute to a Department of Defence, Defence Treat Reduction Agency (DTRA) funded project titled ‘Iterative simulation, artificial intelligence and machine learning-guided
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completion) PhD in subject specialism or equivalent Knowledge and Skills Essential: C1 Knowledge of a variety of modelling techniques from statistics, machine learning, or related disciplines, including