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Engineering. This position is for a Postdoctoral Scholar in the area of information theory and artificial intelligence at the Harvard Information Theory Laboratory . The successful candidate will work under the
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quantum many-body theory, open quantum systems, or quantum information. Experience with advanced numerical methods for quantum systems, stochastic or phase-space techniques, high-performance computing, and
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aptitude for learning molecular biology and the human genome. Documented knowledge of statistical theory and methods, data mining, and machine learning methods. Documented shell script, R, Python, and C
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Artificial
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to collaborate with colleagues in the Centre for Museum Cultures, the History and Theory of Photography Research Centre, and other research centres and institutes across the College. The Fellow will be supervised
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methods such as molecular dynamics (MD) or density functional theory (DFT). • Experience with energy storage devices or materials • Knowledge of battery electrolytes, including water in salt aqueous
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will work on a highly interdisciplinary and ambitious research program that aims to apply theory-driven cognitive computational modeling to rich and intensive educational data obtained from learning
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methods such as molecular dynamics (MD) or density functional theory (DFT). • Experience with materials simulation tools or software is preferred. • Knowledge of battery materials, including
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emphasis on Extremal and Probabilistic Combinatorics, Graph Theory, Discrete Geometry, Ramsey Theory and Combinatorial Number Theory. The initial appointment is for 1-2 years, with a starting salary of no
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geometry or queuing theory, is highly advantageous.