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, biomedicine, and other areas of societal importance. Specific projects may involve developing multiscale simulation methods for quantum mechanical properties of macromolecules; developing novel ways to combine
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simulations, sampling techniques, machine learning, or quantum computing are big pluses. The candidate should have good communication skills, both oral and written, and are willing to work in a
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and distributed RF signal processing and machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing. This position is with KRI at Northeastern University
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test facilities for conducting activities related to cognitive and distributed RF signal processing and machine learning, unmanned and autonomous system technologies, as well as quantum materials and
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collaboration, and other quantum materials, and their modeling and simulation. Projects will include computational discovery of new quantum materials and optical materials and their heterogeneous structures