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Field
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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improvements. Validate reliability and scalability via thermal cycling/HTS/electrical stress on test vehicles; build prototype stacks (e.g., interposer/test-chip) to evidence manufacturability. Report and
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include modeling of bulk and single-cell transcriptomic profiles, integrative multi-omics analysis, and the fusion of molecular data with clinical and imaging features. Organizational Status The successful
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, and want to both contribute to new advances in a field with real world applications. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . To develop novel inertial microfluidics and impedance-based cell sorter. To develop novel label-free CQAs based
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. QUALIFICATIONS Successful applicants will have: PhD in Biomedical Engineering, Ultrasonics, Medical Imaging, Applied Physics, or related field Experience with imbedded hardware, signal processing, and programming
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into a highly active research team with strong international visibility in image and video compression, learning-based coding, and multimedia signal processing. This project is funded by FCT/MECI through
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Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
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medicine research team and key academics and investigators across the rheumatology and cardio-rheumatology field and imaging groups to support novel and ambitious research studies. The post requires working
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Chemical Biological Centre (https://www.umu.se/en/kbc ) at Umeå University and is affiliated with the national Centre of Excellence – Umeå Centre for Microbial Research (UCMR) (https://www.umu.se/en/ucmr