Machine Learning In Nuclear Data Professors in Global

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Luke Miller
Radboud University Netherlands
machine learning
neural network modeling
computational modeling
neural computations
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Bethany Goldblum
University of California, Berkeley United States of America
applied nuclear physics
neutron detection
machine learning applications
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Crystal Senko
University of Waterloo Canada
quantum computing
quantum information processing
quantum computation
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Steven Biegalski
Georgia Institute of Technology United States of America
nuclear forensics
nuclear analytical methods
nuclear engineering
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Shamkant Navathe
Georgia Institute of Technology United States of America
data modeling
data mining
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Sarunas Girdzijauskas
Royal Institute of Technology Sweden
decentralized machine learning
data mining
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Bradley Voytek
University of California, San Diego United States of America
machine learning
data mining
neural modeling
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Chris De Sa
Cornell University Netherlands
deep learning
machine learning frameworks
high-performance machine learning
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Michael Mack
University of Toronto Canada
computational modelling
human memory learning
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Justin Maccallum
University of Calgary Canada
scientific machine learning
computational modeling
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Hayden Schaeffer
University of California Los Angeles United States of America
scientific machine learning
mathematical modeling
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Dominic Robson
King's College London United Kingdom
computational modelling
mathematical modelling
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Jay Mackenzie
University of Glasgow United Kingdom
computational modelling
mathematical modelling
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Michael Watson
University of New South Wales Australia
computational modelling
mathematical modelling
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Ralf Peeters
Maastricht University Netherlands
machine learning
data mining
mathematical modelling
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Ralf Peeters
Maastricht University Netherlands
machine learning
data mining
mathematical modelling
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Nursel Ruzgar
Toronto Metropolitan University Canada
data mining
mathematical modelling
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Chunbo Liu
University of Western Australia Australia
data mining
mathematical modelling
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Jakob Zech
Heidelberg University Germany
scientific machine learning
structure-preserving machine learning
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Arno Siebes
Utrecht University Netherlands
data mining
pattern mining
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Emma Xue
Macquarie University Australia
deep learning
data mining
pattern mining
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