Application Of Machine Learning Professors in Global

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David Delchamps
Cornell University Netherlands
applications of large complex systems
applications of dynamical systems theory
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Hossein Naghavi
University of Washington United States of America
imaging applications
spectroscopy applications
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Geert Mesters
Universitat Pompeu Fabra Spain
applied macroeconomics
applied microeconometrics
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Jian-min Zuo
Monash University Australia
machine learning applications in materials characterization
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Chung-hsing Yeh
Monash University Australia
neural network applications
applied artificial intelligence
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Stanford University United States of America
machine learning applications in synthetic biology
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Yong Foo
Singapore Institute of Technology Singapore
applied learning
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Barclay Dahlstrom
University of Regina Canada
applied learning
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Tony Sahini
University of Melbourne Australia
applied learning
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Joao Falk Neto
University of Alberta Canada
applied learning
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Jennifer Lake
University of Toronto Canada
applied learning
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Honghua He
University of Western Australia Australia
applications of computational research
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Kareem Hosny
University of Washington United States of America
clinical applications machine learning
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Qing Zhao
Cornell University Netherlands
algorithmic theory applications
machine learning
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Richard Duke
Georgia Institute of Technology United States of America
applications in computer science
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Anastasia Mantziou
University of Warwick United Kingdom
applications in computer science
applications in economics
applications in ecology
applications in neuroscience
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Vladimir Kozlov
Linköping University Sweden
mathematics applications
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Walter Kozlowski
University of New South Wales Australia
mathematics applications
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Omer Tamuz
California Institute of Technology United States of America
probability applications
machine learning
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Alistair Mees
University of Western Australia Australia
modeling applications
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Richard Duke
Georgia Institute of Technology United States of America
applications of computer science
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