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The aim of the Department of Imaging Neuroscience is to advance our mechanistic understanding of how the brain works, including in real-world settings and contexts, and to develop clinically
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postdoctoral researcher to contribute to an NIH-funded project focused on developing innovative techniques and hardware for ultrahigh-field magnetic resonance imaging, with an emphasis on ultrahigh-resolution
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during sample processing, imaging, or data analysis. Participates in the development, interpretation, and implementation of new equipment and research methodology. Participates in helping to coordinate
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; (ii) image and data acquisition in experimental fluid mechanics, and the use of specialized software such as MatLab and LabView for image / data analysis and instrument control; and (iii) computational
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detailed tasks accurately and with quality. The position will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in
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(materials, scenarios) - Translation of local knowledge into simulation rules - Facilitation or co-facilitation of model testing sessions - Collection of feedback for prototype iterations. Analysis and
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facility policies. Team Member: Attend training and maintain positive communication with staff. University Representative: Model professionalism and promote a positive image of ECU on social media. Job
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The SFB 1759 "Habitability as a fundamental planetary process: Towards a paradigm shift away from our perception of the uniqueness of Earth" is a newly established Collaborative Research Center
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Second-generation quantum technologies are the key to innovative applications in the fields of communication, sensing, information processing, and imaging. In recent years, the Fraunhofer Heinrich
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faculty member at the Assistant, Associate, or Full Professor rank with expertise in Noninvasive Cardiac Imaging. Applicants should be board certified or board eligible in Cardiovascular Disease, have