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to learn, thriving in dynamic, fast-moving environment Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition By applying to this role, you will be
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challenges (such as raw material constraints, hydrogen availability, and infrastructure deployment challenges), and analyze deep uncertainties. The research will guide sustainable transition strategies
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: Building interpretable causal models to explain patterns (e.g., congestion dynamics), enabling transparency in high-stakes decision-making. We combine statistical data mining, deep learning, and domain
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large-scale neural models of the early visual system. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience and strong deep learning