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utilizing Python and web-stack technologies (such as JavaScript), to translate theoretical models into functional, testable software in close collaboration with our core research team. Beyond software
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techniques, and stochastic optimization. Additional knowledge of machine learning and experience with programming in Python and PyTorch would be considered an advantage. You are experienced in conducting
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of novel 2D materials (e.g., thin-film deposition by PVD and CVD). Proven programming skills (e.g., Python) for instrument control and data analysis. You are a highly motivated and independent researcher
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