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operators in solving partial differential equation systems with applications in mechanical engineering. Task 3 – Apply tensor-based neural networks (TBNN) to discover a constitutive equation for a real
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techniques Preferred Knowledge, Skills, and Abilities: Some experience with quantum algorithms and quantum information science research Expertise in tensor networks and matrix product states Expertise in
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leads to the definition of the acoustic tensor. Numerical, analytical, and experimental techniques will be employed. As an application, the presence of microforces and/or internal nonholonomic
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of tensors and tensor calculus to neutron interactions and material properties. Topology: Study of topological spaces in statistical physics and phase theory. Group Theory: Use Lie groups to analyze symmetries
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, tensor train methods, and/or C++/CUDA programming and a solid foundation in code development is especially welcome. LanguagesENGLISHLevelExcellent Research FieldPhysicsYears of Research Experience1 - 4
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considered by international experts as an emerging leader in engineering education: http://news.mit.edu/2018/reimagining-and-rethinking-engineering-education-0327 The Science, Mathematics and Technology (SMT
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, renormalization group, topological phases of matter, generalized symmetries, tensor networks, scattering amplitudes and gravitational wave physics are invited to apply. Successful candidates will interact with
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Institut des Hautes Études Scientifiques | Bures sur Yvette, le de France | France | about 13 hours ago
condensed matter and statistical mechanics, bootstrap, renormalization group, topological phases of matter, generalized symmetries, tensor networks, scattering amplitudes and gravitational wave physics
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sequences that support specialized applications such as functional MRI and diffusion tensor imaging. An intuitive user-friendly interface simplifies operation and offers quieter operation and comfortable
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package, including health and life insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https