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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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multidisciplinary research environment is essential. Personal initiative, ability to work systematically, reliability, responsibility, teamwork and communication skills are a must. Our offer Collaborative
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research environment is essential. Personal initiative, ability to work systematically, reliability, responsibility, teamwork and communication skills are a must. Our offer Collaborative, international
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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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designing and running large-scale experiments, developing fine-tuning and reinforcement learning approaches, and studying how LLMs can generalize more reliably across tasks and reasoning domains. We
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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