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differential equations (PDEs). While all applicants with a background in the analysis of PDEs will be considered, candidates with prior experience in theoretical physics, fluid mechanics, kinetic theory
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, candidates with prior experience in theoretical physics, fluid mechanics, kinetic theory, dispersive equations or harmonic analysis will be given special attention. The Postdoctoral Associates will be
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Associate position in the broad research areas of non-associative algebras and representation theory. Although all applicants with a background in these two areas will be considered, priority will be given
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in communication theory, signal processing, machine learning, and optimization theory. Strong verbal and written skills in English. Excellent analytical and problem-solving skills, and capacity
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in IEEE Communications Society’s and IEEE Signal Processing Society’s journals and conferences. Strong background in communication theory, signal processing, machine learning, and optimization theory
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of multimodal transportation systems. Particular attention is paid to new vehicle technologies and data sources; as well as the combination of traditional traffic flow theory concepts with new empirically derived
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, candidates with prior experience in theoretical physics, fluid mechanics, kinetic theory, dispersive equations or harmonic analysis will be given special attention. The Postdoctoral Associates will be
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Associate position in the broad research areas of non-associative algebras and representation theory. Although all applicants with a background in these two areas will be considered, priority will be given
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prior experience conducting social science experiments (lab, lab-in-the-field, online, and/or field). Researchers working at the intersection of experiments and other methods (theory, empirical) as well
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perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems This position