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Learning are highly expected Preferred research directons: Numerical Optmizaton and Scientfc Machine Learning. A PhD in Mathematcs or Applied Mathematcs. Two years of full tme postdoctoral experience with
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their academic dutes in English. ESSENTIAL QUALIFICATIONS/EXPERIENCE: Numerical machine leaning/Scientfc Machine Learning are highly expected Preferred research directons: Numerical Optmizaton and Scientfc Machine
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/EXPERIENCE: Numerical machine leaning/Scientific Machine Learning are highly expected Preferred research directions: Numerical Optimization and Scientific Machine Learning. A PhD in Mathematics or Applied
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Peking University, Center for Machine Learning Research (CMLR) Position ID: 2952 -FACULTY [#24742] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Beijing, Beijing
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, bio-inspired amphibious robots design as well as AI application in vortical flow control and sensing. Based on physics-informed (and -informative) machine learning, we combine domain expertise (fluid
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, bio-inspired amphibious robots design as well as AI application in vortical flow control and sensing. Based on physics-informed (and -informative) machine learning, we combine domain expertise (fluid
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/ Theoretical Particle Physics Nuclear Physics / Lattice QCD Lattice Field Theory Machine Learning / Machine Learning Lattice QCD and Heavy Ion Physics (more...) lattice gauge theory Appl Deadline: 2025/09/30
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modeling. These projects will focus on how to leverage ideas from a combination of partial differential equation based computational methodologies and machine learning techniques to develop computational
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, brain science, and neuroscience); data science and machine learning; modeling, analysis, simulation and prediction for biological, engineering, physical and quantum systems; probability theory and
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, All areas , Architecture , Architecture and embedded systems , Compilers , Computer Architecture , Databases , Embedded Systems, Edge Computing, and Mobile Computing Systems , Human-Computer Interaction