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Information Geometry. (2) Computing for AI: Programming Language Theory, Algorithm Theory, Combinatorics, Optimization Theory, and Homomorphic Encryption. (3) AI for Science: Applications of Artificial
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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry
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multidisciplinary team, familiarity with best practices in software engineering, and efficacy at communicating and planning with computer-facility technical staff. Experience with algorithms for hydrodynamic-scale
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Computer Science and B.S. in Artificial Intelligence) as well as two graduate degrees (M.S. and Ph.D. in Computer Science). Current research areas include algorithms, bioinformatics, compilers, computational
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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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, topology, and geometry, especially their connections to combinatorics, symbolic computation, and mathematical physics; core areas of applied mathematics, including matrix analysis, numerical analysis
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and Physics at Syracuse University invite applications to fill multiple faculty positions in the field of quantum information science, broadly defined. Faculty will be appointed in either
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, Quantum Geometry Prof. Moon Jip Park (Hanyang University) – Condensed Matter Physics, Topology, Non-Hermitian Systems, Statistical Physics Prof. Youngseok Kim (Ohio State University) – Quantum Computation
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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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geometries and advancing to multimodal damage assessment capabilities. The group conducts cutting edge research and publishes on novel ML breakthrough algorithms for large scale geospatial application