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Field
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and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction; · build physics-informed and hybrid AI models that combine geophysical knowledge with data
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– in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in physics, optics, photonics, applied physics, electrical engineering, or a related discipline, earned no
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multiphoton microscope system. Acquisition and processing of imaging data. Cooperation with biological partners. Documentation of results (reports, plots, preparation of materials for presentations/publications
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of advanced engineering alloys investigate processing-microstructure-property relationships using advanced materials characterisation techniques conduct microstructural, crystallographic and chemical analysis
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this role you need to have the following qualifications A PhD in Computer Science, Applied Mathematics, Physics, Engineering, Scientific Computing, Image Processing, Data Science, or a closely related
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Profile PhD in microengineering, electrical engineering, mechanical engineering, applied physics, materials science, or a closely related field Strong hands-on experience in MEMS or micro/nanofabrication
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with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research. Experience in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
and outside UNC-CH. Minimum Education and Experience Requirements Doctoral degree (PhD or equivalent) in biomedical engineering, computer science, biomedical data science, physics, computational
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engineering, or a closely related field. Experience in one or more of the following areas is desirable: optical system design, OCT, microscopy, laser-tissue interactions, ultrafast lasers, image processing
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analysis, kinetic modeling, data analysis, and results dissemination. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging, image processing