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couple efficiently to the spin ions while long optical and spin lifetimes are preserved, using pulsed laser deposition, atomic layer deposition and liquid-phase epitaxy of substituted garnet films, and
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. Demonstrated interest in the physics of sea ice and computational modelling of ice will be considered as an advantage. Suitable backgrounds include solid mechanics, mechanical engineering, computational
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closely related field, completed by the start of the position Have practical experience in machine learning with Python, including training neural networks in PyTorch or a similar framework Have a solid
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: M.Sc. (or equivalent) in Robotics, Communications/EE, Computer Science, Control, ML/AI, Mechatronics, or Applied Mathematics; strong analytical and writing skills; solid programming and mathematical