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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 4 hours ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image
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/ ) coordinated by Alessandro Gozzi. This group focuses on System and computational neuroscience. Your activity will comprise fMRI image pre-processing fMRI image analysis And will allow you to develop competences
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: Semiconductor processing or microfabrication Computational modelling (COMSOL, MATLAB, or similar) Experience with optical/THz systems is beneficial but not essential Curiosity, problem‑solving ability, and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
candidate will be expected to publish in peer-reviewed journals and contribute to the broader NASA Earth Science community's preparation for the next generation of orbital imaging spectrometers. Point
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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science approach to lead, support, and expand existing research, teaching, and outreach efforts focused on advanced imaging and analyses. Position Details Additional Information Posting Category Research
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processes of the critical zone For further information visit our website http://www.fz-juelich.de/ibg/ibg-3/EN/Home/home_node.html or contact Prof. Dr. Anja Klotzsche. Your Profile: Master’s degree in
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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funded by the PSL University (Paris Sciences et Lettres) aims to bring together complementary scientific approaches, in this case focusing on acoustic imaging at different scales: “ultrasound” with medical
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses