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, engineering or physics. Knowledge: Computational programming, machine learning, quantum transprot, device simulation. Professional Experience: use of device simulation codes applied to 2D materials. Personal
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, meetings with industry, search of market, etc. Co-supervise PhD, Master and Bachelor Degree students; Train the team members and control the operation protocols of some instrumental units (in particular
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challenges and contribute to publications in high-impact scientific journals. Requirements: Education: PhD in Physics, Materials Science, Nanotechnology, Electrical Engineering, or a closely related field at
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