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their applications. Using machine learning and related tools to enhance quantum memory advantages in stochastic simulation. Using advanced tensor network techniques to enhance the modelling of complex, memoryful open
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. This entails: • You conduct research at the interface between Quantum Information and Quantum Many-Body Physics, where the focus of your research will lie on the study of topological order using tensor network
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of your research will lie on the study of topological order using tensor network methods. You continuously stay informed about the state of the art in your field. You present your research plan
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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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. This entails: • You conduct research at the interface between Quantum Information and Quantum Many-Body Physics, where the focus of your research will lie on the study of topological order using tensor network
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Eberhard Karls University Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
resonance imaging (fMRI) to measure functional activation during an emotion regulation paradigm. Besides, females will also undergo a resting-state measurement, diffusion tensor imaging and an anatomical scan
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expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and tensor networks. These and other techniques will allow us to confront
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, or neural networks). Non-negative tensor factorization will also be applied to identify patterns in the high-dimensional mobility datasets. Social network analysis will characterize relationships between
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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
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mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and machine learning frameworks such as recurrent