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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE BIOLOGICHE, GEOLOGICHE E AMBIENTALI | Italy | 7 days ago
Description This project enhances Earth observation data cubes by improving two key processes: image coregistration and fuzzy classification. Accurate data cubes require precise spatial alignment and reliable
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Job Description Join our interdisciplinary team developing state-of-the-art 3D X-ray microscopy for life science applications. ‘Seeing is believing’, therefore at the DTU 3D imaging center we
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: 281329219 Department Molecular Biology Category Research and Laboratory Job Type Full-Time Overview The Research Specialist in the Confocal Imaging Facility (CIF) laboratory in the Department of Molecular
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accessible through optical imaging. In this context, the team is developing a groundbreaking cellular-resolution imaging technology, the AO-RSO (Adaptive Optics Rolling-Slit Ophthalmoscope). This system
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to record novel physiological responses and related data using specialized computer hardware and software. Ability to archive MR Images and patient data. Ability to update and maintain the image databases and
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-quality images with faster acquisition time. It has advanced coil technology with a range of options that can be adapted for various anatomical regions and imaging needs and offers sophisticated imaging
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EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites | Darmstadt, Hessen | Germany | 1 day ago
17 Jan 2026 Job Information Organisation/Company EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites Research Field Computer science Environmental science Physics
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PET/CT unit, and are in the process of developing relationships with other outside healthcare systems. At our various sites we utilize the full panoply of diagnostic imaging devices in all modalities
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transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal needs
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on electrophysiological approaches (MEEG, iEEG) and signal processing, while in Maastricht, the partner team provides ultra-high-field imaging (7T and 9.4T fMRI) and AI-based modeling. The PhD student will be enrolled