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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in the Theory of Non-Equilibrium Chemical Reaction Networks Mission The National
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expected to have: A doctorate in a Machine-Learning related field A deep knowledge of Control Theory, both classical and deep learning based A solid publication record in top level ML venues such as
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Geometric Group Theory. Anosov representations of these groups are thought to be linear versions of these groups: many objects naturally associated with hyperbolic groups have a linear avatar in the
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following fields: reactive magnetron sputtering, electron-beam lithography, theory of light-matter interaction, computer simulations using the method of Finite Differences in the Time Domain (FDTD
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semantics, automata theory and decision procedures, interactive or automated theorem proving, network verification, routing protocols, packet scheduling, or applications of AI/ML to systems and security