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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 5 hours ago
algorithms and tools for problems of relevance to Vision-CAIR research group and Visual Computing Center (VCC) with a particular focus on learning efficiency, computational creativity, continual learning
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to work with real-world datasets and develop computational tools for empirical research. Our current projects involve large-scale web and text analysis, as well as computer vision and visual data
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Postdoctoral Associate Georgetown University: Medical Center: School of Medicine: Neurology Location Medical Center Open Date Apr 10, 2025 Description A postdoc position is available in the Visual
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Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit of visual learning theory, the PhD student will develop methods for
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computer vision techniques to medical imaging datasets. Process and analyze image datasets, including quality scoring and feature extraction. Collaborate with the research team to evaluate algorithm
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Scientist (CLS) or Clinical Immunohematologist Scientist (CIS) license. • Bachelor’s degree. • Must pass the Ishihara Color Vision exam, i.e. visual acuity including color differentiation. • Two years of
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removal of hard & soft contact lenses Visual acuity at distance and near Color vision test Lensometry Stereopsis test Manual refraction Sensorimotor exam Confrontational fields Automated & manual
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 21 days ago
for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth
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cooperatively with others. Strong understanding of computer technology and IT systems. Ability to troubleshoot mechanical and software issues. Knowledge of audio/visual equipment and recording systems
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cooperatively with others. Strong understanding of computer technology and IT systems. Ability to troubleshoot mechanical and software issues. Knowledge of audio/visual equipment and recording systems