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phases of matter through the confinement of charges and photons in reduced dimensions. We welcome candidates with experience in optical spectroscopy, fabrication of van der Waals heterostructures
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and
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of cement mixing processes. This is challenging due to the fast evolving chemistry in the early mixing phase and low X-ray contrast between mixing and intermediary components. The goal is through improved
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patterns, and extreme climate events remains a subject of debate. Using a combination of climate modelling, statistical methods, and machine learning, ArcticPush aims to uncover the conditions under which