Longitudinal Modeling Professors in Global

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Rahim Moineddin
University of Toronto Canada
multilevel modeling
spatio-temporal modeling
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Sophia Rabe-hesketh
University of California, Berkeley United States of America
longitudinal data analysis
multilevel modeling
hierarchical modeling
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Chris Cahill
Michigan State University United States of America
bayesian modeling
hierarchical modeling
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Subha Kalyaanamoorthy
University of Waterloo Canada
molecular modeling
quantum modeling
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Karen Rambo-hernandez
Texas A&M University United States of America
multilevel modeling
growth modeling
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Derek Creaser
Chalmers University of Technology Sweden
microkinetic modeling
model reduction
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Michael Renton
University of Western Australia Australia
statistical modelling analysis
individual-based modelling
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Alan Yuille
Johns Hopkins University United States of America
mathematical models
computational models
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Katrien Antonio
University of Amsterdam Netherlands
mortality modeling
quantitative risk modeling
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Aila Särkkä
University of Gothenburg Sweden
spatio-temporal modelling
linear mixed models
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Matthew Greenwood-nimmo
University of Melbourne Australia
global modelling
asymmetric modelling
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Baihua Fu
Australian National University Australia
integrated modeling
environmental modeling
ecological modeling
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Stéphane Goyette
University of Geneva Switzerland
environmental modelling
climate modelling
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Benjamin Christensen
Aarhus University Denmark
environmental modelling
modelling theory
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Daniele Casagrande
University of Ottawa Canada
numerical models
analytical models
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Twan Basten
Eindhoven University of Technology Belgium
computational models
model-driven engineering
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Mark Daskin
University of Michigan United States of America
math modeling
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Katta Murty
University of Michigan United States of America
math modeling
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Jasmin Coulombe-huntington
McGill University Canada
network-based modelling
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Edson Utazi
University of Southampton United Kingdom
spatial modeling
spatiotemporal modeling
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Somnath Chaudhuri
University of Southampton United Kingdom
spatiotemporal modeling
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