65 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" Fellowship positions in Canada
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Sciences, Atmospheric and Oceanic Sciences, and Natural Resource Sciences at McGill (https://tsi.mcgill.ca/index.php?page=faculty ). Research topics include (but are not limited to) astrophysics, cosmology
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research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the
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lead the development of the new proposed NC-ARPES technique and will also have the opportunity to propose new and independent investigations with the state-of-the-art TR-ARPES machine at ALLS
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-disciplinary areas of artificial intelligence machine learning big data and data analytics software and security mobility and autonomy The Presidential Postdoctoral Fellowship is proudly supported by generous
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processing, artificial intelligence, cognition and deep learning, machine learning, navigation and mapping, autonomous driving, assistive robotics, drones, dynamics and vibration, acoustics, medical imaging
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(3) years in a relevant field (e.g., Computer Science, Computational Linguistics, Data Science or related disciplines) Strong experience or demonstrated interest in AI, NLP, machine learning
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in artificial intelligence (AI) and/or machine learning. · Ability to support grant applications and ongoing research project development as well as prepare manuscripts, policy briefs, technical
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). The candidate will be working on developing state-of-the-art methodology in clinical prediction modeling, including novel uncertainty assessment method (Value of Information analysis), as well as Machine Learning
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to have been selected as one of Canada’s Best Diversity Employers and a Greater Toronto’s Top Employer for 2015, 2016, 2017 and 2018. To learn more about our work environment, colleagues, leaders, students
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disciplines) Strong experience or demonstrated interest in AI, NLP, machine learning, or digital health research Experience working with clinical, communication, or patient-generated datasets is an asset