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How to Apply - OATML

The Oxford Applied and Theoretical Machine Learning Group (OATML) is a research group within the Department of Computer Science of the University of Oxford led by Prof Yarin Gal. We come from academia (Oxford, Cambridge, MILA, McGill, U of Amsterdam, U of Toronto, Yale, and others) and industry (Google, DeepMind, Twitter, Qualcomm, and startups). We follow pragmatic approaches to fundamental research in machine learning, and work with many practitioners in varied fields (medical, autonomous driving, finance, astrophysics, and more).



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How to Apply - OATML

https://oatml.cs.ox.ac.uk/apply.html

The Oxford Applied and Theoretical Machine Learning Group (OATML) is a research group within the Department of Computer Science of the University of Oxford led by Prof Yarin Gal. We come from academia (Oxford, Cambridge, MILA, McGill, U of Amsterdam, U of Toronto, Yale, and others) and industry (Google, DeepMind, Twitter, Qualcomm, and startups). We follow pragmatic approaches to fundamental research in machine learning, and work with many practitioners in varied fields (medical, autonomous driving, finance, astrophysics, and more).



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https://oatml.cs.ox.ac.uk/apply.html

How to Apply - OATML

The Oxford Applied and Theoretical Machine Learning Group (OATML) is a research group within the Department of Computer Science of the University of Oxford led by Prof Yarin Gal. We come from academia (Oxford, Cambridge, MILA, McGill, U of Amsterdam, U of Toronto, Yale, and others) and industry (Google, DeepMind, Twitter, Qualcomm, and startups). We follow pragmatic approaches to fundamental research in machine learning, and work with many practitioners in varied fields (medical, autonomous driving, finance, astrophysics, and more).

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      The Oxford Applied and Theoretical Machine Learning Group (OATML) is a research group within the Department of Computer Science of the University of Oxford led by Prof Yarin Gal. We come from academia (Oxford, Cambridge, MILA, McGill, U of Amsterdam, U of Toronto, Yale, and others) and industry (Google, DeepMind, Twitter, Qualcomm, and startups). We follow pragmatic approaches to fundamental research in machine learning, and work with many practitioners in varied fields (medical, autonomous driving, finance, astrophysics, and more).
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      The Oxford Applied and Theoretical Machine Learning Group (OATML) is a research group within the Department of Computer Science of the University of Oxford led by Prof Yarin Gal. We come from academia (Oxford, Cambridge, MILA, McGill, U of Amsterdam, U of Toronto, Yale, and others) and industry (Google, DeepMind, Twitter, Qualcomm, and startups). We follow pragmatic approaches to fundamental research in machine learning, and work with many practitioners in varied fields (medical, autonomous driving, finance, astrophysics, and more).

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      The Oxford Applied and Theoretical Machine Learning Group (OATML) is a research group within the Department of Computer Science of the University of Oxford led by Prof Yarin Gal. We come from academia (Oxford, Cambridge, MILA, McGill, U of Amsterdam, U of Toronto, Yale, and others) and industry (Google, DeepMind, Twitter, Qualcomm, and startups). We follow pragmatic approaches to fundamental research in machine learning, and work with many practitioners in varied fields (medical, autonomous driving, finance, astrophysics, and more).

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