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are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications: PhD required Knowledge of optics and optical imaging Knowledge of optical
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sponsorship is not available for this position, and the university cannot accommodate H-1B transfers or employment-based visa processing for individuals currently sponsored by another employer. Job Close Date
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sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong computational and analytical skills, as
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systems. Spectroscopy, hyperspectral imaging, remote sensing, IoT, and process measurements are important data sources within this broader framework rather than requirements defining a single experimental
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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Postdoc (f/m/d) at Rossendorf Beamline at the ESRF / Completed PhD in Physics, Chemistry, Materia...
Helmholtz Association of German Research Centres | Tremblay en France, le de France | France | about 2 months agofrom nuclear and industrial waste in collaboration with six European partners (www.malar-project.eu). Your tasks # Providing support during user operation at the XES station (dedicated to high-energy
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accommodate H-1B transfers or employment-based visa processing for individuals currently sponsored by another employer. This position is funded by contracts and grants and is contingent upon available funding
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operation. A prototype at ENSICAEN demonstrated feasibility, achieving a stable 800 °C with under 200 W. Building on this proof of concept, the project proposes a research program to confirm the potential
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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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colorectal tumors. Specifically, the work will focus on optimizing 3D X-ray virtual histology methods by phase-contrast micro-CT and corresponding image processing techniques also with view on combining it