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, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
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measurements Undergraduates: Supporting graduate students with python programming in analysis and automation, or mechanical drawing/3D printing or electrical circuits. Part-time computer scientists: Building
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, model and simulate physical processes, and engage in productive discussions with theoretical quantum physicists. Demonstrated programming skills for data acquisition and processing, e.g., Python, Matlab
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., exact diagonalization, Krylov subspace methods, quantum Monte-Carlo, tensor network methods. Demonstrated programming skills using relevant languages, e.g., C/C++, Python, Matlab, Julia, and familiarity
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techniques and familiarity with cleanroom environments. Proficiency in data analysis and scientific programming languages (e.g., Python, MATLAB, or similar). Proven track record of research excellence, as
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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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information science and technology, classical machine learning Software: Python, Matlab, Mathematica, COMSOL, Schroedinger-Poisson Solver, C/C++, Quantum Espresso, Number of Openings: 1 The appointment is for two years