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classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our
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include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow
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Postdoc Position in Algebraic Geometry Faculty: Faculty of Science Department: Department of Mathematics Hours per week: 36 to 40 Application deadline: 7 July 2025 Apply now Join our dynamic
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laboratory, which focuses on developing optical spectroscopy and imaging tools to solve global problems in reproductive health. The successful candidate will have the opportunity to work with a
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Vacancies PostDoc Fellowship: Neural Control of Leg Exoskeletons Post Stroke. Key takeaways Our mission is to restore natural gait patterns in individuals with motor impairment (due to stroke
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Area of research: Scientific / postdoctoral posts Job description: Postdoc positions in Computational Health (f/m/x) 102675 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible
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project, “Mathcrete”, and offers a unique opportunity to collaborate closely with another Postdoc specializing in 3D nano image reconstruction and modelling tools development, as well as other PhDs and
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leverages unique and transferable features of immersive technologies to transform the presentation of time series plots, image layers, and tabular data, thereby improving in situ data collection. Evaluate