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. Key responsibilities: The successful candidate will be expected to: · Develop transport simulation code for rapidly changing electrostatic environments · Model carrier dynamics in
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model physics, electroweak and Higgs physics, flavour physics, model building, Monte Carlo simulations, precision standard model physics, neutrino physics, particle astrophysics, strong interactions and
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encouraged to adopt a creative approach to problem-solving, exploring various deep learning techniques. Verification of these models and algorithms will be conducted using benchmark datasets and real-world
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