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. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor devices or metrology. We offer We offer a fully funded
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(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
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. The postdoc will develop operating procedures for the instrument and train users. The postdoc will work with undergraduate and graduate students. Essential Functions Design, build, and test L-band resonators
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-data interaction, and machine learning, making it a natural home for advancing data interaction in hybrid care. This specific position is in close collaboration with Catharina Hospital Eindhoven and
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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their relationship to users’ subjectively placed (dis)trust in the technology. To help addressing these questions, we are looking for a postdoc with several years of experience in doing interdisciplinary
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Equations & Applications Data Science, Machine Learning, and AI Mathematical Materials Science and other emerging fields in applied mathematics Qualifications: A PhD (completed or expected by the date
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analytics, including correlation analysis and machine learning techniques. Preferred Qualifications: Experience with microstructure characterization techniques (SEM, EBSD, TEM, XRD). Experience in mechanical
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Postdoc in Molecular Epidemiology – Statistical Genetics | Human Technopole, Milan Build the science that shapes the future of human health. Application closing date: 08.07.2026 Join a place where
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-generation permanent magnets using a powerful combination of high-throughput computation, machine learning, rapid synthesis and efficient characterization. This position requires expertise in synthesizing and