Machine Learning In Electron Microscopy Professors in Global

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Abhirup Banerjee
University of Oxford United Kingdom
geometric machine learning
computational modelling
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Jakob Wagner
Technical University of Denmark Denmark
high-resolution electron microscopy
in situ electron microscopy
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Ali Mohammadi-gheidari
Delft University of Technology Netherlands
quantum electron microscopy
electron microscopy components
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Sophia Wilson
University of Copenhagen Denmark
machine learning
data efficient machine learning
resource efficient machine learning
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Dominic Robson
King's College London United Kingdom
mathematical modelling
computational modelling
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Jay Mackenzie
University of Glasgow United Kingdom
mathematical modelling
computational modelling
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Michael Watson
University of New South Wales Australia
mathematical modelling
computational modelling
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Norman Zhou
University of Waterloo Canada
mathematical modeling
computational modelling
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Johan Hoefnagels
Eindhoven University of Technology Belgium
microscopic characterization
micro-mechanical testing
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Sasan Barak
University of Southampton United Kingdom
financial machine learning
machine learning applications in finance
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Michael Mack
University of Toronto Canada
computational modelling
human memory learning
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Thomas Hansen
Technical University of Denmark Denmark
machine learning in electron microscopy
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Henry Chubb
Stanford University United States of America
machine learning in electrophysiology
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Jay Khambhati
University of Chicago United States of America
machine learning in echocardiography
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Lars Grimm
Duke University Singapore
machine learning in radiology
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Peter Kim
Stanford University United States of America
machine learning in biology
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Sarah Beecroft
University of Western Australia Australia
machine learning in biology
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Krishna Shrinivas
Northwestern University United States of America
machine learning in biology
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Patrick Codd
Duke University Singapore
machine learning in neurosurgery
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John Ginn
Duke University Singapore
machine learning in radiation therapy
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Nan Li
Imperial College London United Kingdom
machine learning in manufacturing
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