Machine Learning Applications In Astronomy Professors in Global

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Albert Zijlstra
University of Manchester United Kingdom
optical astronomy
radio astronomy
infrared astronomy
observational astronomy
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Steven Allen
Stanford University United States of America
optical astronomy
radio astronomy
x-ray astronomy
millimeter-wave astronomy
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Karen Lee-waddell
University of Western Australia Australia
astronomy
radio astronomy
extragalactic astronomy
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Jonghwan Rhee
University of Western Australia Australia
astronomy
radio astronomy
extragalactic astronomy
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Daniela Huppenkothen
University of Amsterdam Netherlands
astronomy
statistical methods in astronomy
time-domain astronomy
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Gerhardt Meurer
University of Western Australia Australia
space astronomy
optical astronomy
radio astronomy
ultraviolet astronomy
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Trystan Lambert
University of Western Australia Australia
optical astronomy
radio astronomy
extragalactic astronomy
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Steven Kahn
University of California, Berkeley United States of America
astronomical instrumentation
x-ray astronomy
time-domain astronomy
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Christine Wilson
McMaster University Canada
galactic astronomy
observational astronomy
extragalactic astronomy
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Bruno Binggeli
University of Basel Switzerland
galactic astronomy
extragalactic astronomy
computational astrophysics
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Christopher Miller
University of Michigan United States of America
galactic astronomy
extragalactic astronomy
computational astrophysics
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Monica Valluri
University of Michigan United States of America
galactic astronomy
extragalactic astronomy
computational astrophysics
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Mark Magee
University of Warwick United Kingdom
machine learning in astronomy
computational astrophysics
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Alexey Nekrasov
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
data analysis in astronomy
astronomical observations
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Aaron Boley
University of British Columbia Canada
astronomy
planetary astronomy
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Dimitri Mawet
California Institute of Technology United States of America
astronomy
astronomical instrumentation
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Noelia Martinez Rey
Australian National University Australia
astronomy
astronomical instrumentation
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Masao Sako
University of Pennsylvania United States of America
data analysis in astronomy
machine learning
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Jack Radcliffe
University of Manchester United Kingdom
astronomy
radio astronomy
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Laura Wolz
University of Manchester United Kingdom
astronomy
radio astronomy
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Lister Staveley-smith
University of Western Australia Australia
astronomy
radio astronomy
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