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systems and potentially extend their experimental capabilities by integrating deep learning throughout the imaging workflow, from data acquisition to final analysis. As a PhD student in this project, you
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translation of innovative miniature, hair-thin imaging devices we have previously developed [https://doi.org/10.1117/1.JBO.29.2.026002]. These devices are designed to enable early and accurate detection
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for Digital Twins for different agricultural and biorefinery processes Acquisition of third-party funding projects Promotion of bachelor, master and PhD thesis Preparing and publishing research findings in peer
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for this position prior to employment. For questions about the application process, please contact Jon Freeman, Recruiting Specialist, at jf2sw@virginia.edu. For more information about UVA and the Charlottesville
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will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree
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, processing, and/or statistical and data analysis tools to analyze multimodal imaging and spectroscopic data. Specifically, the main tasks will involve data collection, management, and analysis, including image
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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Applications are invited for a Research Associate position, funded by the British Heart Foundation Manchester Research Excellence Award, within the Division of Informatics, Imaging & Data Sciences
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Scale Tissue Atlas" project. -Duties include conducting research on image processing, image alignment, and instrument design and development for the funded projects. -This project will require expertise
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application! Position description The Institute for Analytical Sociology (IAS) seeks to fill one to two 4-year PhD position/s in Analytical Sociology. The IAS is an international, interdisciplinary research