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collaboration with the team. Your profile PhD degree in physics, materials science, chemistry, electrical engineering or a related discipline Knowledge of UHV and thin-film technology Prior experience in PVD and
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profile PhD degree in physics, materials science, chemistry, electrical engineering or a related discipline Knowledge of UHV and thin-film technology Prior experience in PVD and surface science Prior
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. Olga Fink ). IMOS develops advanced machine-learning and AI methods for complex engineering and industrial systems, with a particular focus on improving their reliability, availability, and operational
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machine-learning and AI methods for complex engineering and industrial systems, with a particular focus on improving their reliability, availability, and operational performance while enabling more
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together physicists, earth and planetary scientists, chemists and biologists to understand the conditions and the mechanisms that enable life to emerge. Developing reliable methods to detect reliable traces
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher in Time-resolved X-ray Nanoimaging for Semiconductor Reliability Mission
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of this work is to push the capabilities and reliability of modern AI systems on challenging reasoning problems. Position available starting around October 2026 (position may begin later as well). The PhD
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diffraction patterns alone, bypassing projection reconstruction? Can we reliably identify defects without ever resolving them? What is the best way to incorporate the known design information into the imaging
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researcher to develop time-resolved imaging methods and apply them to semiconductor reliability problems. This is one of two postdoctoral positions opening in the group. This position focuses on time-resolved