6 parallel-and-distributed-computing "Computer Vision Center" positions at ARCNL in Netherlands
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machine learning and physics to recover nanoscale information from imperfect images? Modern computer chips are built with features only a few nanometers across, yet manufacturers need to measure these
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plethora of differently doped samples is measured and studied. This is a project in the HHG & EUV science group of Peter Kraus at the Advanced Research Center for Nanolithography (ARCNL). This
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Advanced Research Center for Nanolithography (ARCNL). This project is for you if you have a solid background in physics and an interest in optics, optical experiments, and condensed matter
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quantitative analysis to physical interpretation and publication. Work environment The Advanced Research Center for Nanolithography (ARCNL) focuses on the fundamental physics and chemistry involved in current
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possible. Inspired by recent research in attosecond beamline stabilization [Huppert, M. et al. Rev. Sci. Instrum. 86, 123101 (2015)]and precise optical delay tracking [Schweinberger, W. et al. Opt
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, M. et al. Rev. Sci. Instrum. 86, 123101 (2015)]and precise optical delay tracking [Schweinberger, W. et al. Opt. Express 27, 4789–4798 (2019)], this project aims to develop a timing acquisition in