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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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: Solid experience in experimental ultrasound imaging Solid experience with ultrasound sequence programming Solid experience with ultrasound image reconstruction and signal processing Desirable skill
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Biological/Biomedical Sciences Computer/Information Sciences Medical - Research Internal Number: A-179992-4 General Description Laboratories in the Department of Biophysics and Biophysical Chemistry at Johns
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 9 days ago
, and behavioral interventions, Editor(s): Jihyun Kim, Hayeon Song, Technology and Health, Academic Press,2020, Pages 109-128, ISBN 9780128169582, https://doi.org/10.1016/B978-0-12-816958-2.00006-X . Liu
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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engineering are eligible (physics, computing, signal processing,…) Strong skills in scientific programming: knowledge of Python and C/C++ Strong oral and written communication skills in English Be open to
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these sensors. KEY RESPONSIBILITIES: Develop course material and teach graduate level courses within the image processing track of the Electrical Engineering and Computer Science Program. Provide direction
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18 Jan 2026 Job Information Organisation/Company Poznan University of Technology Department Faculty of Computing and Telecommunications Research Field Computer science » Systems design Computer science
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the field of optics and photonics. The team is working in the Photonic axis and is developing novel optical imaging techniques for biology. In particular, Pierre Bon is developing novel label imaging
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time