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physics and experience in modelling. You hold a Bachelor’s degree in Physics, Chemistry, Biology, or Mathematics and are currently enrolled in a Master’s program in one of these fields. You have the
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, materials science, or computer science with an interest in complex materials for computing and learning. Excellent candidates with training in any area of science or engineering will be considered. PhD
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network, PNAS 121, e2319718121 (2024) Qualifications We seek candidates with a strong background in physics, mechanical engineering, materials science, or computer science with an interest in complex meta
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