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-on engineering, materials, manufacturing processes, process characterization, and artificial intelligence/machine learning in manufacturing (AI/ML). Works both independently and collaboratively within a dynamic
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of the analysis of in-situ experimental data in the field of non-destructive testing (digital image correlation, thermography and acoustic emission) development of algorithm-supported evaluation methods in
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and investigative procedures This role performs various assays, imaging experiments, and other technical duties to assist with the research activities of the laboratory and may be required to work with
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investigative procedures This role performs various assays, imaging experiments, and other technical duties to assist with the research activities of the laboratory and may be required to work with animal models
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prototype optical sensor for the rapid, early detection of undesirable taints or off-flavours in whisky, based on recent research in the Clark Nanophotonic Devices Research Group and Peveler Bio-Nano Sensing
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still and moving image practices, analogue and digital processes, and interdisciplinary forms. Current working knowledge of industry‑standard software and digital workflows is expected, along with
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about our benefits: https://hr.cornell.edu/benefits-pay . Follow this link to learn more about the Total Rewards of Working at Cornell: https://hr.cornell.edu/jobs/your-total-rewards . Our leave
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sciences, medicine, biomedical engineering, or a related field Strong interest in cardiovascular physiology and/or medical imaging Skills in data analysis, processing, and statistics Languages Advanced
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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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will be responsible for meeting the highest standards of customer service including, exhibiting a professional and positive image when interacting with patients, faculty, and staff. What perks and