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level equivalent to a two-year master's degree. The ideal candidate will have a background in photonics and condensed-matter physics. You should have a passion for theoretical and computational physics, a
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recent large-scale capabilities in physics. Reliability, exploring uncertainty quantification and robust inference in machine learning. Explainability, leveraging identifiability and unique recovery
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generally. The expectation is that the PhD project can extend on and further develop these theoretical debates by applying them to extreme wealth. The central question for WP2 is thus: What role should we
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education and knowledge dissemination. Job description We seek PhD students that will contribute to new generations of scalable, model-based tools for cyber-physical systems based on a mathematical sound