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combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner health and behaviour
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combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner health and behaviour
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combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner health and behaviour
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Machine Learning Software Engineer Machine Learning Software Engineer (Remote) *No Visa Sponsorship is available for this position. About the Cornell Lab of Ornithology The Cornell Lab of Ornithology is a
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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is...
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master's level courses in machine learning and R programming during the autumn semester of 2025 (with a possibility of extension). The main tasks involve assisting students during lab sessions and possibly
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Internal Number: 6273292 Bioinformatics and Machine Learning Intern About the Opportunity About the Opportunity About the Institute for Experiential AI and Northeastern University Do you want to be part of
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, EC1Y 2AL Birmingham City University are looking to appoint a high calibre graduate (graduated within the last five years) as a Machine Learning R&D Engineer (KTP Associate). As a Machine Learning R&D
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London (UCL) has an exciting opportunity for a Lecturer in Artificial Intelligence and Machine Learning for Sustainable Construction. The post holder will be within The Bartlett School of Sustainable
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libraries. Experience with modern deep learning frameworks (e.g., PyTorch). Experience in using Large Language Models in real-world use cases. Experience in working with large datasets. Knowledge