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strong background in Transmission Electron Microscopy (TEM) and semiconductor materials characterization. The ideal candidate will have either a PhD in a relevant field or 5+ years of hands-on experience
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(PLD, MBE, or similar methods); • Experience in structural characterization (X-ray diffraction, electron microscopy, synchrotron spectroscopy, etc.); • Interest in the study of correlated electronic
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engineeringEducation LevelPhD or equivalent Skills/Qualifications Merit-based criteria PhD degree in physics, optical engineering, biomedical engineering, electronics, or a related field (or a defence date scheduled
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research program Complete a PhD thesis and associated coursework within the 3-year fellowship period Please refer to our latest publications, which highlight our work. • https://www.nature.com/articles
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Researcher (R2) Positions PhD Positions Application Deadline 6 Oct 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Jan 2027
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 10 hours ago
support of research and teaching, including spaces and equipment for mineralogy, petrology, optical microscopy, sedimentology, tectonics, geospatial analysis, UAS technology, electron microscopy, stable
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Free-standing Functional Oxides This PhD project focuses on the development of a stable, electron-transparent crystalline platform for advanced in situ transmission electron microscopy (TEM) studies
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. Perform comprehensive material characterization—including optical and electron microscopy, X-ray diffraction, inductive heating, magnetometry, scanning probe analysis, and other techniques based on project
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intelligence extraction workflows. The Tilburg PhD researcher will develop a methodological pipeline for analysing high-resolution microscopy data of integrated circuits, integrating computer vision, deep
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experience Required Qualifications: PhD in Electrical Engineering or a closely related field. Preferred: Demonstrated expertise in AI/ML, including deep learning, computer vision, LLMs, VLMs, multimodal AI