Biology Inspired Methods Professors in Global

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Hossein Salahshoor
Duke University Singapore
bio-inspired systems
data-driven methods
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Thees Spreckelsen
University of Glasgow United Kingdom
research methods
experimental methods
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Christine Grove
Monash University Australia
research methods
participatory research methods
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Byron Yu
Carnegie Mellon University United States of America
behavioral methods
physiological methods
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Kate Hong
Carnegie Mellon University United States of America
behavioral methods
physiological methods
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Rebekka Gullvåg
Umeå University Sweden
ecological methods
physiological methods
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Talia Moore
University of Michigan United States of America
bio-inspired robotics
bio-inspired design
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Alison Barth
Carnegie Mellon University United States of America
physiological methods
molecular methods
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Stefano Benincasa
University of Vienna Austria
experimental methods
empirical methods
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Aphrodite Kapurniotu
Technical University of Munich Germany
biophysical methods
biochemical methods
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Dana-Farber Cancer Institute United States of America
biophysical methods
biochemical methods
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Andrew Markham
University of Oxford United Kingdom
physics-informed approaches
data-driven methods
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Shiva Tavallaey
KTH Royal Institute of Technology Sweden
data-driven methods
model-based methods
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Ian Bond
University of Bristol United Kingdom
bio-inspired approaches
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Anil Bharath
Imperial College London United Kingdom
biologically inspired computation
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Sadegh Ghorbani
Technical University of Denmark Denmark
biologically inspired material engineering
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Firoz Kadumudi
Technical University of Denmark Denmark
biologically inspired material engineering
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Andrew Vardy
Memorial University of Newfoundland Canada
biologically inspired robotics
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Fumiya Iida
University of Cambridge United Kingdom
biologically inspired robotics
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Victoria Webster-wood
Carnegie Mellon University United States of America
biologically inspired robotics
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Tran Nguyen
University of New South Wales Australia
biologically inspired robotics
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