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are especially encouraged: (1) statistical mechanics, condensed-matter theory, quantum field theory; (2) tensor networks, quantum information, quantum algorithms; (3) machine learning, generative models, large
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field theory, semi-classical methods in quantum many body dynamics, tensor networks and GPU-accelerated quantum evolution. Our work is concept- rather than method-centric. Candidates with backgrounds
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
the noise term, and more specifically, the correlation tensor involved in the definition of the small-scale component. The objective will be to extend this methodology to ocean dynamics and to study
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
equation, to infer a dynamics for the noise term, and more specifically, the correlation tensor involved in the definition of the small-scale component. The objective will be to extend this methodology
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the emphasis is on computational condensed matter theory, quantum information and tensor network, exceptional candidates from all subfields of theoretical condensed matter physics are encouraged to apply. We
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, tensor parallelism, pipeline parallelism, checkpointing, and GPU communication Experience with Slurm or another HPC workload manager Experience building or adapting containers for HPC or GPU clusters Nice
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such as Tensor Flow and in-house code will be used. Training and evaluation data sets will be obtained using NIST MRI phantoms, imaged on both the NIST preclinical and University of Colorado 3 T clinical
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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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, applied mathematics, computational science, biophysics, biomedical engineering, or a closely related field. Strong background in nonlinear continuum mechanics, tensor algebra, and finite element modeling
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information science, broadly defined. Experience in topological materials/ topological quantum computation/ quantum geometry/ exposure to tensor network methods or and/or AI/LLM for physics would be a positive addition