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analysis. Excellent programming skills in Python and experience with deep-learning frameworks (preferably PyTorch). Experience developing, training, validating, and optimising machine-learning models
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dynamics out-of-equilibrium, and applications to quantum simulation, quantum optimisation, and related quantum algorithms. Depending on the candidate’s interests and expertise, the project may also involve
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swarm optimisation, 4) critical phenomena in field theory, 5) and the Schwinger-Keldysh formalism of hydrodynamics. About the group: The STELLAR lab is headed by three staff members, Andrea Amoretti
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