Medical Surgical Learning Professors in Global

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Lia Fluit
Radboud University Netherlands
workplace learning
interprofessional learning
complex skills learning
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Pascal Poupart
University of Waterloo Canada
self-supervised learning
shot learning
causal learning
continual learning
reinforcement learning
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Yuhong Guo
Carleton University Canada
self-supervised learning
semi-supervised learning
continual learning
representation learning
reinforcement learning
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Yuhong Guo
Carleton University Canada
self-supervised learning
semi-supervised learning
continual learning
representation learning
reinforcement learning
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Ciara Pike-burke
Imperial College London United Kingdom
online learning
statistical machine learning
reinforcement learning
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Kate Gerber
University of Bern Switzerland
surgical applications
computer-based surgical planning
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Hayden Schaeffer
University of California Los Angeles United States of America
operator learning
scientific machine learning
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Jakob Zech
Heidelberg University Germany
operator learning
scientific machine learning
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Sofia Nyström
Linköping University Sweden
professional learning
medical education
workplace learning
interprofessional learning
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Peter Simons
Utrecht University Netherlands
digital learning
learning processes
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Christian Stöhr
Chalmers University of Technology Sweden
digital learning
online learning
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Lin Henriksen
Aalborg University Denmark
medical education
digital learning
medical pedagogy
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Stephen Bach
Brown University United States of America
statistical relational learning
statistical machine learning
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Liss Sylvén
University of Gothenburg Sweden
language learning
vocabulary learning
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Virginie Pignot-shahov
University of Southampton United Kingdom
language learning
vocabulary learning
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Kawal Rhode
King's College London United Kingdom
medical image processing
medical robotics
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Martin Wolsgård
Aarhus University Denmark
digital learning
learning design
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Carsten Frederiksen
Aalborg University Denmark
digital learning
learning design
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Jens Hansen
University of Southern Denmark Denmark
digital learning
learning design
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Mehrdad Mahdavi
Pennsylvania State University United States of America
statistical computational learning theory
online learning
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Jessica Lee
University of Sydney Australia
causal learning
rule learning
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