996 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" research jobs in United Kingdom
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collaborate with other technical groups working on the design. The successful candidate will also have opportunity to conduct experiments and machine development activities on the existing accelerators. The key
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. Willingness to learn complex statistical analyses of fMRI data (this might include analysis methods such as multivariate data analysis, machine learning or computational modelling) Desirable CriteriaExperience
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
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phenomena and impulsive events in the solar atmosphere. Our approach includes the implementation of machine learning models for multiline full-Stokes inversions. About the person: The successful candidate
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are shortlisted. To learn more about the Institute for Health and Care Improvement and the Health and Care Research and Evaluation Service, please visit: yorksj.ac.uk/ihci For informal enquiries please contact
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deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications
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/diffusion tensor MRI. Experience with machine learning/deep learning/AI methods. What we can offer you: Be part of a team developing cutting-edge simulation technology having real-world impact. Grow your
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deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications
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. Experience solving diffusion or related equations by Monte Carlo methods. Knowledge of MRI/diffusion tensor MRI. Experience with machine learning/deep learning/AI methods. Be part of a team developing cutting
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), working closely with Professor Catrin Tudur Smith and Dr Ahmed Waqas. The Postdoctoral Researcher will work on a network meta-analysis of psychosocial interventions for military personnel with Posttraumatic