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Machine Learning In Electrophysiology
Machine Learning In Electrophysiology Professors in Global
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Professor
Melik Demirel
Pennsylvania State University
United States of America
molecular modeling
multiscale multiphysics modeling
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Professor
Subha Kalyaanamoorthy
University of Waterloo
Canada
machine learning
molecular modeling
quantum modeling
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Professor
Sasan Barak
University of Southampton
United Kingdom
machine learning applications in finance
financial machine learning
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Professor
Andrew Guzzomi
University of Western Australia
Australia
machine dynamics
machine kinematics
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Professor
Jian Jin
Purdue University
United States of America
machine learning
machine vision
machine systems engineering
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Professor
James Harden
University of Ottawa
Canada
computational biophysics
experimental biophysics
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Professor
Sharel Peisan E
University of Edinburgh
United Kingdom
electroanalysis
microscale electrochemistry
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Professor
Sophie Gobeil
Laval University
Canada
macromolecular modelling
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Professor
Garrett Warnell
University of Texas at Austin
United States of America
human-guided machine learning
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Professor
Kevin Kohlstedt
Northwestern University
United States of America
machine learning automation
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Professor
Jennifer Beane-ebel
Boston University
United States of America
deep learning in pathology
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Professor
Ashley Bucsek
University of Michigan
United States of America
micromechanical modeling
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Professor
Ankit Srivastava
Texas A&M University
United States of America
micromechanical modeling
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Professor
Mohsen Mohammadi
University of New Brunswick
Canada
micromechanical modeling
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Professor
Blake Johnson
Macquarie University
Australia
electrophysiological measures
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Professor
Lawrence Ward
University of British Columbia
Canada
electrophysiological measures
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Professor
Borzou Rostami
University of Alberta
Canada
machine learning applied to real-time decision making
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Professor
Dick Den Hertog
University of Amsterdam
Netherlands
optimization in machine learning
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Professor
Timothy Grotjohn
Michigan State University
United States of America
electromagnetic models
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Professor
Alexander Raaijmakers
Eindhoven University of Technology
Belgium
electromagnetic physics
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Professor
Michael Davies
University of Edinburgh
United Kingdom
machine learning
machine imaging
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