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Fellowship research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging
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biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed term for 24 months. About you You will be working in a small highly motivated inter
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
landscape and cross-basin scales. Understanding these complex ecosystem dynamics requires measurements that go beyond traditional multi-spectral imaging. Imaging spectroscopy—capturing the full contiguous
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laboratory is seeking a motivated and highly skilled post-doctoral researcher to join our dynamic laboratory dedicated to studying HIV-1, with a particular focus on development of novel imaging approaches
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team with an international reputation for producing high-quality research outcomes in the area of animal behaviour. This project involves establishing and imaging butterfly courtship interactions within
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Explore fundamental spin physics at the interface of acoustics and MRI, and help develop a new imaging contrast sensitive to microscopic magnetic-field inhomogeneities. Job description We
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The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be
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the Australian Research Council The successful candidate should have research experience in electrochemical technology and prototype design. They will have excellent oral and written communication skills and
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models to evaluate therapeutic efficacy and pharmacokinetic profiles. Gaining exposure to cutting-edge transcriptomic, proteomic, and "imageomic" (high-content image informatics) datasets, as
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capabilities in evaluating physical and chemical properties of environmental samples including plants and soil. Experience integrating phenotypic or imaging-based datasets (e.g., RGB, chlorophyll fluorescence