High Throughput Discovery Methods Professors in Global

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Ingemar André
Lund University Sweden
high-throughput methods
computational methods
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Manfred Trummer
Simon Fraser University Canada
high-order methods
computational methods
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Suchuan Dong
Purdue University United States of America
high-order numerical methods
high performance computing
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Elad Harel
Michigan State University United States of America
high-throughput synthesis
molecular discovery
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
high-throughput molecular data
high-dimensional data
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Rene Steijl
University of Glasgow United Kingdom
high-performance computing
advanced computational methods
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Ahmad Afsahi
Queen's University Canada
high-performance computing
high-performance communication
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David Thomas
University of Southampton United Kingdom
high-performance computing
high-level synthesis
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Jesse Capecelatro
University of Michigan United States of America
high-performance computing
computational methods
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Robert Womersley
University of New South Wales Australia
high-performance computing
computational methods
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Franck Cappello
University of Illinois United States of America
high-performance computing
computational methods
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Sven-bodo Scholz
Radboud University Netherlands
high-performance computing
high-productivity programming tools
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Rui Duan
Harvard T.H. Chan School of Public Health United States of America
high dimensional data analysis
computational methods
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Lars Karlsson
Umeå University Sweden
high-performance computing
efficient algorithms
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Melba Crawford
Purdue University United States of America
high dimensional data analysis
multiresolution methods
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Kord Smith
Massachusetts Institute of Technology United States of America
high performance computing
computational methods
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Rami Younis
Texas A&M University United States of America
high performance computing
computational methods
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Amanda Barnard
Australian National University Australia
high performance computing
computational methods
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Aravindan Vijayaraghavan
Northwestern University United States of America
high-dimensional data analysis
efficient algorithms
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Rachel Bernhard
University of Oxford United Kingdom
research methods
computational methods
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Dennis Fok
Erasmus University Rotterdam Netherlands
efficient estimation techniques
high-dimensional data
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