Diversity Techniques Professors in Global

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Elisabeth Silver
Michigan State University United States of America
cognitive factors in diversity
workforce diversity
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Thad Dunning
University of California, Berkeley United States of America
statistical methods
multi-method research
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Marnie Howlett
University of Oxford United Kingdom
visual methods
digital methods
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Naomi Richards
University of Glasgow United Kingdom
visual methods
participatory methods
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Christian Léger
University of Montreal Canada
statistical methods
resampling techniques
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John Anderson
Carnegie Mellon University United States of America
statistical methods
behavioral methods
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Kate Hong
Carnegie Mellon University United States of America
statistical methods
behavioral methods
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Mike Tarr
Carnegie Mellon University United States of America
statistical methods
behavioral methods
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Annie Dupuis
University of Toronto Canada
multivariate methods
graphical methods
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Mi-cha Flubacher
ZHAW Zurich University of Applied Sciences Switzerland
linguistic diversity management
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Ana Kotarcic
ZHAW Zurich University of Applied Sciences Switzerland
linguistic diversity management
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Lyndon Barrois
Carnegie Mellon University United States of America
cinematic techniques
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Akram Almohalwas
University of California Los Angeles United States of America
data mining techniques
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Olena Syrotkina
University of Windsor Canada
data mining techniques
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Dave Armstrong
Western University Canada
data mining techniques
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Lennart Baardman
University of Michigan United States of America
predictive techniques
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Virginia Zaunbrecher
University of California Los Angeles United States of America
predictive techniques
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Carola Schönlieb
University of Cambridge United Kingdom
variational methods
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Jinming Duan
University of Manchester United Kingdom
variational methods
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Hichem Ben-el-mechaiekh
Brock University Canada
variational methods
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Stefan Müller
University of Bonn Germany
variational methods
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