Large Scale Field Experiments Professors in Global

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Markus Buehler
Massachusetts Institute of Technology United States of America
multi-scale simulation
large-scale atomistic modeling
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Daniel Reker
Duke University Singapore
automated experimentation
biochemical experiments
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Lei Ying
University of Michigan United States of America
large-scale computing systems
large-scale communication systems
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George Voneiff
Texas A&M University United States of America
large-scale production data analysis
large datasets
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Hang Lu
Georgia Institute of Technology United States of America
large-scale experimentation
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Sjouke Kingma
Wageningen University Netherlands
field experimentation
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Xin Chen
Singapore Management University Singapore
field experimentation
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Gordon Burtch
Boston University United States of America
field experimentation
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Polly Kang
Nanyang Technological University Singapore
natural field experiments
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Gabriel Kreindler
Harvard University United States of America
natural field experiments
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Bernd Dammann
Technical University of Denmark Denmark
large scale computations
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Berkant Savas
Linköping University Sweden
large scale computations
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Thomas González Roberts
Georgia Institute of Technology United States of America
large scale computations
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Anthony Rowe
Carnegie Mellon University United States of America
large-scale sensing
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Martin Blunt
Imperial College London United Kingdom
large-scale simulation
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Alison Norman
University of Texas at Austin United States of America
large-scale simulation
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Sean Hill
École Polytechnique Fédérale de Lausanne Switzerland
large-scale simulation
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Michael Thouless
Technical University of Denmark Denmark
micro-scale experiments
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Birol Dindoruk
Texas A&M University United States of America
field scale modeling
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Philipp Tuertscher
Vrije Universiteit Amsterdam Netherlands
large-scale scientific collaborations
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Justin Chan
Carnegie Mellon University United States of America
large-scale environmental sensing
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