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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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Hands-on experience building, operating, and maintaining both the hardware and software of complex scientific apparatuses. Our quantum simulator comprises an ultra-high vacuum system, high-power low-noise
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Postdoctoral Fellowship in Quantum Navigation Two postdoctoral positions are available immediately in Professor Cory’s laboratory for the development of a quantum navigational device in
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background and strong analytical skills in quantum physics and applied mathematics, including familiarity with exact and approximate methods to solve for and control the time-evolution of quantum many-body
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developing quantum machine learning techniques. Relevant Fields: Physics, Electrical and Computer Engineering or equivalent field Required Skills: Strong condensed matter physics, statistical physics, quantum
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-box experience etc.), Characterization (AFM/SEM/TEM/UV-VIS/Raman), CNT or nanowire/2D material growth is a plus. Software: Python, Matlab, Mathematica, COMSOL, Schroedinger-Poisson Solver, C/C++, Number
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contribute to the collaborative TQT research community. Principal Investigator: David Cory Project: Develop improved processes for the growth of high-quality superconducting films with applications to quantum