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quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not mandatory. Excellent written and
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infrastructure and facilities, such as the Life Science Imaging Centre (https://research.hkbu.edu.hk/resources/facilities-and-labs/hkbu-life-science-imaging-centre ). Being part of a rapidly evolving research and
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dynamics during regeneration, aging, and cancer, and how these processes can be modulated. Our research is primarily conducted in vivo. We combine genetic mouse models (lineage tracing, conditional
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
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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application end stations to be used for imaging, absorption/reflection spectroscopy, and other quantum sensing techniques. Practical working knowledge and hands‑on experience with lasers and optics, spanning
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tools. Processing of collected data; Implementation of Machine Learning; Development/implementation of the model prototype in the digital solution (app/platform) to support the clinical trial
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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
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vibrational spectroscopy and imaging methods to improve identification of irregularly shaped particles less than 10 µm. U.S. Citizen Preferred Key responsibilities will include but are not limited
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call. General university admission deadlines or procedures do not apply to this recruitment process. Website for additional job details https://oc10.meduniwien.ac.at/open-phd-positions Work Location(s
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out independent as well as collaborative research in the area of Ultra-High Field Magnetic Resonance Imaging (MRI). The position involves the development of 7 Tesla MRI methods and applications