Astronomical Data Reduction Professors in Global

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Kaisey Mandel
University of Cambridge United Kingdom
astronomical machine learning
statistical applications in time-domain astronomy
astroinformatics
astrostatistics
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Andreas Wicenec
University of Western Australia Australia
astrophysical data management
data intensive astronomy
astrometry
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Gerhardt Meurer
University of Western Australia Australia
radio astronomy
space astronomy
optical astronomy
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Maria Cunningham
University of New South Wales Australia
radio astronomy
computational astrophysics
sub-millimetre astronomy
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Carmelle Robert
Laval University Canada
astronomical space instrumentation
astronomical space sciences
galactic astronomy
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Daniela Huppenkothen
University of Amsterdam Netherlands
astronomy
time-domain astronomy
statistical methods in astronomy
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Eric Ford
Pennsylvania State University United States of America
astronomy
astroinformatics
astrostatistics
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Matias Carrasco Kind
University of Illinois United States of America
astronomy
astroinformatics
astrostatistics
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Bruno Binggeli
University of Basel Switzerland
computational astrophysics
theoretical astrophysics
galactic astronomy
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Douglas Welch
McMaster University Canada
astronomical space sciences
stellar astronomy
galactic astronomy
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Alison Sills
McMaster University Canada
astronomical space sciences
stellar astronomy
galactic astronomy
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Laurent Eyer
University of Geneva Switzerland
astrometry
time domain astronomy
astrostatistics
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Amir Ebadati Bazkiaei
Macquarie University Australia
astronomical data reduction
space astronomy
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Mario Jurić
University of Washington United States of America
astronomical big data
data science in astronomy
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Alexey Nekrasov
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
data analysis in astronomy
astronomical observations
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Dmitry Savransky
Cornell University Netherlands
machine learning in astronomy
statistical analysis of large astronomical surveys
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Peter Freeman
Carnegie Mellon University United States of America
astronomical datasets
astrostatistics
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David Buscher
University of Cambridge United Kingdom
astronomical imaging
observational astrophysics
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Mark Magee
University of Warwick United Kingdom
machine learning in astronomy
computational astrophysics
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Julie Hlavacek-larrondo
Université de Montréal Canada
machine learning in astronomy
observational astrophysics
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Dimitri Mawet
California Institute of Technology United States of America
astronomical instrumentation
astronomy
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