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magnetic resonance. The project is to demonstrate coherent control and cooling of quantum processors. The dedicated research facilities include low temperature setups (dilution refrigerators, He-3 systems
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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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: Some of the best and most interested quantum emitters and quantum memory devices are operating an optical wavelength ranges not suitable for satellite-based quantum communication. This PDF role is for
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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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devices. The project will rely on UHV and MBE growth. It will connect both materials and device characteristics to improved growth methods. Experience with the following is useful: UHV methods MBE XRD LT
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sensitive materials, knowledge of quantum mechanics and condensed matter physics. Number of Openings: 1 The appointment is for two years with the possibility of renewal. The salary is competitive and