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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | 2 days ago
program at The Hospital for Sick Children, University of Toronto, and the Vector Institute. Our research group focuses on developing machine learning-based pipelines that leverage generative models and
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in conducting human behavioural experiments or human-centered field studies. Demonstrated experience in using machine learning, such as deep learning for image processing, or natural
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to have submitted their PhD by 1 October 2026. Heather Hancock, Master of St John’s, said: “St John’s is a brilliant place to progress a research career, truly immersed in an interdisciplinary community
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for a Arcus Foundation funded project entitledGibbon acoustic monitoring Lao PDR. The primary duties will be to develop a deep learning-based call detector for gibbons from acoustic recordings
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every colleague is valued and empowered to thrive. Our dedication to these values ensures that we foster a culture of mutual respect, open collaboration, continuous learning, and innovative thinking. Join
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at St. Stephen's Green/RCSI car park. Recognition: At RCSI, we value and recognise the contributions of our staff through various awards and events, such as Long Service recognition, the Vice Chancellor
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as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas
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neurocritical care research The Opportunity We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis
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in advanced signal processing techniques and good understanding of emerging machine learning methodologies used in NDE. You will work in close collaboration with project partners at the University
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Desirable criteria Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial