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, applicants have experience with multipole methods, low-rank approximations, or tensor methods. A good command of English, the working language within the team, is required. We are looking for a competent
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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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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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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
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, Diffusion Tensor Imaging (DTI), Ultrasound, muscle stimulation, electromyography (EMG), and motion capture. Conducting human anatomical specimen dissection studies to obtain in-vitro data for model