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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
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systems can coordinate “cue” satellites by determining the optimal response: identifying which satellites should be tasked, when observations should occur, and which asset can capture the event first. This
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you will do work with plants and viruses and to perform disease assays; employ an optimized proteomics method that uses cross-linking and affinity purification to determine the RNA-binding proteome
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applications. This includes, but is not limited to, stochastic differential equations, stochastic partial differential equations, variational and geometric methods, probabilistic numeric, optimal transport, and