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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be
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physics is especially interesting due to the presence of exotic excitations, potentially non-Abelian. The TensQHE project aims to develop modern numerical tools based on tensor networks, within an open
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of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be represented by a
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capabilities to produce and polarize the solid targets needed for this program. In the near term, our group will focus on the Jefferson Lab Azz and b1 experiments, which will probe tensor po- larized deuterons
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field is required by the starting date of the position. Experience in one or more of the following areas is especially desirable: non-Lorentzian symmetries, holography, higher-spin theory, tensor gauge
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: · MATLAB · Python · ROS · Computer vision and/or YOLO · Pytorch and/or Tensor Flow · LiDAR · GIS · GNSS receivers Minimum Qualifications: Doctoral degree in Mechanical Engineering, Electrical Engineering, or
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-of-the-art sparse algorithm in matrices, tensor and networks for large-scale numerical, scientific and AI models and disseminating findings through publications and presentations in top-tier peer-reviewed
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, with expertise both in theoretical methods and in numerical study, and with a particular focus on the application of quantum information driven tools, such as tensor networks or convex relaxations
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of research include quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with particular focus on applying
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for different types of multivariate data, such as time series, spatial data, spatio-temporal data, functional data or tensor-valued observations. The work of the postdoctoral researcher will focus on developing