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Network Based Methods
Network Based Methods Professors in Global
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Professor
John Anderson
Carnegie Mellon University
United States of America
mathematical methods
computational methods
statistical methods
behavioral methods
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Professor
Mike Tarr
Carnegie Mellon University
United States of America
mathematical methods
statistical methods
behavioral methods
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Professor
Dave Touretzky
Carnegie Mellon University
United States of America
mathematical methods
computational methods
statistical methods
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Professor
Caleb Pomeroy
University of Toronto
Canada
computational methods
statistical methods
experimental methods
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Professor
Oleg Pikhurko
University of Warwick
United Kingdom
probabilistic methods
analytic methods
algebraic methods
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Professor
Monique Laurent
Tilburg University
Netherlands
combinatorial methods
geometric methods
algebraic methods
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Professor
Jo Ferrie
University of Glasgow
United Kingdom
research methods
qualitative methods
quantitative methods
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Professor
Alison Barth
Carnegie Mellon University
United States of America
statistical methods
molecular methods
anatomical methods
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Professor
Ammar Sarhan
Dalhousie University
Canada
statistical methods
non-bayesian methods
bayesian methods
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Professor
Charles Kenley
Purdue University
United States of America
quantitative methods
bayesian methods
modeling and simulation methods
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Professor
Shiva Tavallaey
KTH Royal Institute of Technology
Sweden
model-based methods
data-driven methods
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Professor
Yuehaw Khoo
University of Chicago
United States of America
neural-network methods
tensor-network methods
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Professor
Yuehaw Khoo
University of Chicago
United States of America
neural-network methods
tensor-network methods
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Professor
Allan Dolovich
University of Saskatchewan
Canada
numerical methods
experimental methods
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Professor
Jürgen Wagner
Technische Universität Dresden
Germany
numerical methods
experimental methods
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Professor
Christoph Federrath
Australian National University
Australia
numerical methods
observational methods
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Professor
Mehrdad Saif
University of Windsor
Canada
model-based techniques
ml-based techniques
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Professor
Kim Levere
University of Guelph
Canada
numerical methods
fractal-based methods
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Professor
Sabine Ardey
Technical University of Munich
Germany
numerical methods
experimental methods
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Professor
Markus Kästner
TU Dresden
Germany
numerical methods
experimental methods
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Professor
Mattias Sandberg
KTH Royal Institute of Technology
Sweden
numerical methods
analytical methods
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