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Field
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, Medical Informatics, and Bioinformatics; Web Intelligence and Recommender Systems; Computing Education; Interactive Machine Learning; Cybersecurity and Adversarial Machine Learning; Computational Geometry
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strong foundation in areas of algebra that include category theory, computational algebraic geometry, number theory, or algebraic statistics. The candidate will demonstrate their expertise through
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and Adversarial Machine Learning; Computational Geometry and Topology; Next Generation Networks; Rehabilitation Robotics; and Intelligent Software Engineering. Over the past decade, faculty within
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fundamental and interdisciplinary research in algebra, analysis, differential equations, topology, geometry, numerical analysis, probability, statistics, and data science, with connections to fields across
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Polytechnic Institute, and Stevens Institute of Technology. Research and education areas at DIMACS include algorithms, combinatorics, complexity, privacy and security, discrete and computational geometry
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polarization along with novel quantum geometries and topologies. We seek candidates with expertise in developing modern tools involving artificial intelligence, data science, and machine learning algorithms
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active program in research and scholarship, and departmental service are expected. Successful candidates must be committed to quality undergraduate and graduate education and be able to supervise
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geometry, developing a cooled atomic tritium source, and leading design work for Project 8’s future neutrino mass measurement experiments. The postdoctoral positions will be based in Seattle within
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at the assistant professor level. Research fields of interest include, but are not limited to, Algebra, Dynamical Systems, Geometry, and Topology. The successful candidate will exhibit the potential
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Qualifications Extensive research experience in computational fluids, advanced grid generation and unstructured gridding of complex geometries, high-temperature gas dynamics, advanced multi-physics simulation