Machine Learning Applications In Synthetic Biology Professors in Global

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Subha Kalyaanamoorthy
University of Waterloo Canada
synthetic biology
computational biology
machine learning
molecular modeling
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Daniel Bojar
University of Gothenburg Sweden
synthetic biology
computational biology
machine learning
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Mark Yarmarkovich
New York University United States of America
synthetic biology
computational biology
machine learning
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Edward Stites
Yale University United States of America
synthetic biology
computational biology
machine learning
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Giovanni Stracquadanio
University of Edinburgh United Kingdom
synthetic biology
computational biology
machine learning
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Jim Hughes
University of Oxford United Kingdom
synthetic biology
computational biology
machine learning
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Bart Markvoort
Eindhoven University of Technology Belgium
synthetic biology
computational biology
molecular simulations
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Daniel Charlebois
University of Alberta Canada
synthetic biology
mathematical biology
machine learning
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Daniel Charlebois
University of Alberta Canada
synthetic biology
mathematical biology
machine learning
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Patrick Barth
École Polytechnique Fédérale de Lausanne Switzerland
synthetic biology
computational biology
molecular biology
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Alex Shalek
Massachusetts Institute of Technology United States of America
synthetic biology
computational biology
molecular biology
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Jeff Hasty
University of California, San Diego United States of America
synthetic biology
computational biology
molecular biology
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Mohammad Mofrad
University of California, Berkeley United States of America
systems synthetic biology
computational biology
statistical machine learning
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Vishwesh Kulkarni
King's College London United Kingdom
systems synthetic biology
computational biology
machine learning
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Dominik Grimm
Technical University of Munich Germany
artificial intelligence in biological sciences
computational biology
statistical machine learning
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Seid Zandavi
University of New South Wales Australia
biomedical applications
computational biology
machine learning
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Magnus Rattray
University of Manchester United Kingdom
computational biology
data analysis in biological systems
machine learning
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Anastasia Mantziou
University of Warwick United Kingdom
applications in computer science
applications in neuroscience
applications in ecology
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Jan Komorowski
Uppsala University Sweden
computational biology
machine learning
modeling biological systems
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Danica Sutherland
University of British Columbia Canada
statistical machine learning
machine learning
theoretical machine learning
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William Umboh
University of Melbourne Australia
computational biology
machine learning
molecular modeling
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