Data Driven Engineering Of Methyltransferases Professors in Global

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Mark Goudswaard
University of Bristol United Kingdom
digital data-driven engineering
data-driven product development
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Despoina Stavridou
Technical University of Denmark Denmark
data-driven engineering
methyltransferases
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Dejiu Chen
KTH Royal Institute of Technology Sweden
data-driven engineering
model-driven engineering
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Brock Tibert
Boston University United States of America
data engineering
data-driven product development
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Nooshin Salari
University of Alberta Canada
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data-driven decision-making
data-driven optimization
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Ignacio Peis Aznarte
Technical University of Denmark Denmark
data-driven methodologies
data handling
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Carlos Acevedo-rocha
Technical University of Denmark Denmark
data-driven engineering of methyltransferases
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Burcin Becerik-gerber
University of Southern California United States of America
data-driven engineering
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Burcin Becerik-gerber
University of Southern California United States of America
data-driven engineering
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Peyman Moghadam
University College London United Kingdom
data driven materials engineering
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Shaowei Wang
University of Manitoba Canada
data-driven software engineering
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Lauren Lee
University College London United Kingdom
data-driven chemical process systems engineering
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Cheol-ho Jeong
Technical University of Denmark Denmark
data driven techniques
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Merten Stender
Technical University of Berlin Germany
data-driven techniques
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Niklas Groll
Technical University of Denmark Denmark
data-driven techniques
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Tobias Overgaard
Technical University of Denmark Denmark
data-driven techniques
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Amin Jalali
Stockholm University Sweden
data-driven techniques
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Anna Chlingaryan
University of Sydney Australia
data-driven techniques
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Paris Carbone
Royal Institute of Technology Sweden
data-driven system design
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Jin Kim
New York University Tandon School of Engineering United States of America
data-driven machine learning guided enzyme engineering
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Haris Sheikh
University of Southampton United Kingdom
data-driven design
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