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is important. Irvine is located in beautiful, sunny Southern California. Application Procedure - Please log onto UC Irvine's recruitment site located at: https://recruit.ap.uci.edu/JPF09724 For further
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Assistant Research Professor (Research Track), Radiology and Imaging Sciences Posting Number req24876 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu
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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
underexplored. The aim of this PhD project is to develop and apply advanced neutron imaging methodologies in order to establish quantitative links between processing conditions, microstructural evolution
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conduct in vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Develop or adapt high-speed image acquisition and processing methods for simultaneous measurement
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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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cooperation partners in their research projects with state-of-the-art light and electron microscopes (https://www.leibniz-fmp.de/cellular-imaging ). We work with proteins, cell cultures, and model organisms
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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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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification KY Radiation Operator’s License at time of
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genotyping, etc .) Molecular cloning Microscopy (e.g., imaging fluorescent proteins in C. elegans ) Data analysis (image processing, quantification, statistics, etc .) C. elegans husbandry (animal maintenance
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outcomes. Key Responsibilities Develop, implement, and optimise AI/ML models (artificial intelligence/classical machine learning, deep learning, computer vision, NLP, etc.) Work with structured and