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collaboration with local experimental groups to interpret and understand experimental findings. Proficiency in advanced many-body techniques—such as the density-matrix renormalization group, tensor-network states
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information; Logic, constraint solving and satisfiability (SAT, #SAT, SMT); Knowledge representation and reasoning (decision diagrams, tensor networks, DNNF); Assist in relevant teaching activities. Where you
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of the following is considered an asset: Variational methods for many-body systems (e.g. MCTDH, DMRG, Quantum Monte Carlo). Exact diagonalization for lattice models. Tensor network methods (e.g. MPS, PEPS). Machine
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for the conclusion of the project. WORK PLAN AND OBJECTIVES 1) Integrate a fibre orientation tensor into the multidirectional fixed smeared crack model existing in the FEMIX software to simulate more accurately the
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following: Electronic structure/dynamics, tensor network states, multireference electronic structure, relativistic electronic structure. More information about the Larsson group can be found at https
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Carlo, tensor networks, or quantum embedding methods, etc. -ML-augmented numerical method development. -High-performance computing (HPC). Certifications/Licenses Required Knowledge, Skills, and Abilities
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and