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. For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp . The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color
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the FHNW. The goal is to develop a highly automated, reproducible pipeline for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and
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engines, energy systems, explosions, aerodynamics, fluid mechanics, signal and image processing, control systems, and robotics. The postdoctoral researcher will design and develop frugal artificial
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Imaging IT team architects, implements, and manages the computer systems and networks needed to support more than 700,000 imaging studies annually. Our team manages the full stack from network
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https://www.uni.lu/snt-en/research-groups/trux/ . The successful candidate will: Conduct cutting-edge research in multimodal and multilingual natural language processing Develop and curate multimodal
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longitudinal consistency and data quality, including parameter tracking, protocol versioning, and rigorous QC frameworks Implementing, validating, and extending image-processing and analysis pipelines
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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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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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the ECHOES ERC project. The primary objective of this PhD is to develop and validate innovative post-processing techniques for the detection of exoplanets in coronagraphic images. Unlike traditional methods