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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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
to geysers on Triton. These images have been used countless times over the past three decades to conduct scientific analyses in planetary geology and atmospheric science, to inspire new generations
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proposals. Requirements Applicants with a Master’s degree in Computer Vision, Deep Learning, Computer Science, Image Processing, Biomedical Engineering, or related fields will be considered for the position
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microscopy in materials science and/or biology-related fields is required. Skills: Operation and maintenance of TEM and SEM, and ability to assist with interpretation of imaging results Ability to manage
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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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The VCC center at KAUST is looking for research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 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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information encoding and computation in neocortical circuits. The successful candidate will lead an ambitious project on synaptic and circuit mechanisms of sensory processing in primary visual cortex (V1
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evaluation. Collaborating with heritage partners (e.g., Swiss National Museum, SIK-ISEA) and preparing evaluation reports and a white paper for applied use. PhD in Digital Humanities, Imaging Science, Computer