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Equivariant Hermitian K Theory
Equivariant Hermitian K Theory Professors in Global
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Professor
Emanuele Dotto
University of Warwick
United Kingdom
algebraic hermitian k-theory
equivariant homotopy theory
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Professor
Martin Speirs
University of Copenhagen
Denmark
equivariant stable homotopy theory
algebraic k-theory
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Professor
Mona Merling
University of Pennsylvania
United States of America
equivariant stable homotopy theory
algebraic k-theory
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Professor
Mona Merling
University of Pennsylvania
United States of America
equivariant stable homotopy theory
algebraic k-theory
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Professor
Kaif Tan
University of Copenhagen
Denmark
equivariant hermitian k-theory
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Professor
Pieter Van Goor
Australian National University
Australia
equivariant systems theory
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Professor
Stefan Schwede
University of Bonn
Germany
equivariant homotopy theory
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Professor
Kelly Pohland
Cornell University
Netherlands
equivariant homotopy theory
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Professor
Soledad Villar
Johns Hopkins University
United States of America
equivariant machine learning
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Professor
Jan Gerken
Chalmers University of Technology
Sweden
equivariant neural networks
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Professor
Daniel Persson
University of Gothenburg
Sweden
equivariant neural networks
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Professor
Peter Hochs
Radboud University
Netherlands
equivariant index theory
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Professor
Asilata Bapat
Australian National University
Australia
equivariant cohomology
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Professor
Joshua Graham
University of New South Wales
Australia
equivariant cohomology
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Professor
Matthias Franz
Western University
Canada
equivariant cohomology
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Professor
Zhouli Xu
University of California Los Angeles
United States of America
equivariant topology
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Professor
Tobias Barthel
Max Planck Institute for Mathematics
Germany
equivariant stable homotopy theory
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Professor
J. Peter
University of Chicago
United States of America
equivariant stable homotopy theory
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Professor
Soledad Villar
Johns Hopkins University
United States of America
equivariant representation learning
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Professor
David Sheard
King's College London
United Kingdom
group equivariant machine learning
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Professor
Tess Smidt
Massachusetts Institute of Technology
United States of America
symmetry equivariant neural networks
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