Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Virginia Tech
- UNIVERSITY OF VIENNA
- Nature Careers
- Princeton University
- Aarhus University
- CNRS
- Durham University
- LIVERPOOL JOHN MOORES UNIVERSITY
- Argonne
- Cornell University
- Leibniz
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- McGill University
- Rice University
- Technical University of Munich
- University of Amsterdam (UvA)
- University of British Columbia
- University of Colorado
- University of Southern Denmark
- Aalborg University
- Arizona State University
- BARCELONA SUPERCOMPUTING CENTER
- Biobizkaia Health Research Institute
- Chalmers University of Technology
- Charles University in Prague
- Constructor University Bremen gGmbH
- DIFFER
- ETH Zürich
- Ecole Normale Superieure
- European Space Agency
- Inria, the French national research institute for the digital sciences
- Institut de Robòtica e Informàtica Industrial CSIC-UPC
- Jagiellonian University Faculty of Philosophy
- KTH
- Leiden University
- NEW YORK UNIVERSITY ABU DHABI
- National Aeronautics and Space Administration (NASA)
- Oak Ridge National Laboratory
- SUNY Polytechnic Institute
- SciLifeLab
- Sofia University "St. Kliment Ohridski"
- Stanford University
- Technical University of Denmark
- University for Continuing Education Krems
- University of Antwerp
- University of Cambridge;
- University of Connecticut
- University of Lund
- University of Luxembourg
- University of North Carolina at Chapel Hill
- University of Oregon
- University of Oxford
- University of South Carolina
- University of Vienna
- University of Washington
- University of York;
- Université Savoie Mont Blanc
- Université catholique de Louvain
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- 50 more »
- « less
-
Field
-
reflects selective attention. This project aims to develop a color representation in which the distance between hues accurately reflects the effectiveness of attentional selection between them. In a series
-
computational platforms. • Experience with data acquisition systems, accelerometer arrays, and sensor integration for dynamic testing. • Knowledge of packaging performance testing standards (ASTM D4169, ISTA) and
-
required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on
-
is to provide talent, services, and technology that empower SUNY to research, innovate, and transfer discoveries that transform the world's knowledge economy. Our vision is to make SUNY the best place
-
(e.g., deep learning, implicit neural representations, diffusion models) for CT reconstruction, enhancement, and defect detection. Advance algorithms for multi-modal tomography (X-ray, neutron, electron
-
research in causal representation learning, inference, and discovery; advance explainable models that enable discovery of image-based markers predictive of future disease evolution; and build fair, robust
-
. The ICN has a background in knowledge graphs representation and processing for mass spectrometry and metabolomics. The Wimmics team specializes in different AI techniques for knowledge graph providing open
-
Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land
-
communication skills, systems for clinical decision support, case based instruction, knowledge representation, retrieval and analysis, health professions diversity, public health informatics, health workforce