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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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, developing and applying advanced computational methods to study cosmic structure. The project is funded by a Simons Foundation grant and is part of the international collaboration Learning the Universe
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Flatiron Research Fellow, Developmental Dynamics, Center for Computational Biology Description The Center for Computational Biology (CCB) of the Simons Foundation 's Flatiron Institute is actively
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Flatiron Research Fellow, Statistical Biophysics, Center for Computational Biology Description The Center for Computational Biology (CCB) of the Simons Foundation's Flatiron Institute is actively
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Flatiron Research Fellow, Biological Transport Networks, Center for Computational Biology Description The Center for Computational Biology (CCB) of the Simons Foundation 's Flatiron Institute is
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
(HDRH) team to understand current and future demand for computational methods across the HASS community. Applied Research: Develop your own applied research agenda using the HDRH and ANU HASS community as
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: Analysis, Numerical Analysis, and Scientific Computing (ACSIOM), Didactics and Epistemology of Mathematics (DEMA), Probability and Statistics (EPS), and Geometry, Topology, and Algebra (GTA). - main mission
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funded by the Heising-Simons Foundation that provides funding for ISMIP7 Core Activities. We invite candidates with interests and experience in the fields of physical and computational oceanography
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
computational methods across the HASS community. Applied Research: Develop your own applied research agenda using the HDRH and ANU HASS community as your proving ground. Future-Focused: Explore emerging