Synthesis Methods Professors in Global

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Steve Ley
University of Cambridge United Kingdom
synthesis methods
machine-assisted synthesis
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John Wolfe
University of Michigan United States of America
new synthetic methods
synthesis of natural products
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Christian Léger
University of Montreal Canada
statistical methods
resampling techniques
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Richard Cook
University of Waterloo Canada
statistical methods
sequential methods
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Adriano Polpo
University of Western Australia Australia
classification methods
resampling techniques
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Chenthooran Muthukumaraswamy
University of Toronto Canada
statistical methods
statistical techniques
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Wendy Chan
University of Pennsylvania United States of America
statistical methods
propensity score methods
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Paul Mclachlan
Technical University of Denmark Denmark
statistical methods
modeling techniques
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Daniel Lawson
University of Bristol United Kingdom
statistical methods
mathematical techniques
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Michael Szafron
University of Saskatchewan Canada
statistical methods
biostatistical methods
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
statistical methods
biostatistical methods
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Alison Barth
Carnegie Mellon University United States of America
molecular methods
statistical methods
pharmacological methods
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Michelle Gooey
Monash University Australia
evidence synthesis
implementation methods
qualitative methods
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Christoph Federrath
Australian National University Australia
numerical methods
observational methods
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Northwestern University United States of America
experimental methods
qualitative methods
interpretive methods
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Brady Wagoner
Aalborg University Denmark
qualitative methods
visual methods
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Brady Wagoner
University of Copenhagen Denmark
qualitative methods
visual methods
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Davin Piercey
Purdue University United States of America
synthesis of energetic materials
electrochemical synthesis
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Samson Ting
University of Western Australia Australia
statistical techniques
mathematical techniques
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Alexandra Lesnikowski
Concordia University Canada
comparative methods
knowledge synthesis
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Daniel Fosas De Pando
University of Edinburgh United Kingdom
modeling techniques
monitoring techniques
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