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., exact diagonalization, Krylov subspace methods, quantum Monte-Carlo, tensor network methods. Demonstrated programming skills using relevant languages, e.g., C/C++, Python, Matlab, Julia, and familiarity
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, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
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contribute to the collaborative TQT research community. Principal Investigator: Christine Muschik Research Area: Theoretical quantum optics Relevant Fields: Quantum Networks, Quantum Simulations Required
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. The projects may also include to tackle benchmarking problems such as SAT, image processing, graph theories, boson/fermion sampling by applying classical machine/deep learning, neural network techniques and
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apparatus, handling brittle and sensitive materials, knowledge of quantum mechanics and condensed matter physics. Number of Openings: 1 The appointment is for two years with the possibility of renewal
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sensitive materials, knowledge of quantum mechanics and condensed matter physics. Number of Openings: 1 The appointment is for two years with the possibility of renewal. The salary is competitive and