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, mathematical criteria stability and robustness of neural networks, applications of topology and geometry to deep learning, the topology and geometry of data, or the dynamics of learning. The successful candidate
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, mathematical criteria stability and robustness of neural networks, applications of topology and geometry to deep learning, the topology and geometry of data, or the dynamics of learning. The successful candidate
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Institute for Basic Science, Center for Geometry and Physics Position ID: IBSCGP -SRFRESEARCHER [#26745] Position Title: Position Type: Postdoctoral Position Location: Pohang, Gyeongsangbuk-do
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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry
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modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret results. Experience in commercial CFD package such as ANSYS package
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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry
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key areas: designing hybrid and immersive experiences and understanding technology’s role in shaping human interaction with the built environment. Andrew Witt, Computational Geometry Lab
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stochastic analysis; differential geometry and geometric analysis; algebraic and geometric topology; algebra, number theory and cryptography; dynamical systems; analysis and nonlinear/stochastic partial
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: The successful applicant will be responsible for: Obtaining rigorous mathematical results at the interface of optimization, geometry, and data science Designing, implementing, and testing algorithms Engaging in
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tokamak geometry on turbulent regimes and power-load distribution in double-null configurations Build-up a comprehensive database based on these simulations and analyze data Job Requirements: PhD degree in