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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
motivated candidate with a strong interest in machine learning and clinical neuroscience. The lab studies resilience and vulnerability in brain aging and dementia, and builds computer-aided methods and tools
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, multispectral and infrared imaging, spectroscopy, image processing, computational analysis, and clinical investigation to develop technologies that can improve diagnostic accuracy and reduce disparities in care
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and sample tracking into reproducible end-to-end pipelines. Develop and apply computational pipelines for image processing, cell segmentation, debarcoding and spatial statistics. Close the experimental
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2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 10 Jan 2027 Is the job funded through the EU Research Framework Programme? Not
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of Engineering at the University of Texas at Arlington invites applications for a rank Post Doctoral Research Associate. This position will focus on analyzing imaging data, developing novel methods for analysis
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confocal microscopy, and quantitative fluorescence imaging, to monitor and quantify protease activity in real time. 4. Data analysis and interpretation Processing, analyzing, and interpreting experimental
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website: https://www.esa.int/ Field(s) of activity/research for the traineeship Main objectives of the Research Fellowship Cognitive cloud computing in space (3CS) is emerging as a key paradigm for future
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measurements, including confocal microscopy, and quantitative fluorescence imaging, to monitor and quantify protease activity in real time. 4. Data analysis and interpretation Processing, analyzing, and
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Sciences, provides rich opportunities for collaboration. For more information see www.creol.ucf.edu . Applications are invited for a postdoctoral research position in computational nonlinear dynamics and
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opportunities for regenerative medicine and neurological disease treatment. The group provides an interdisciplinary environment connecting experimental biology, computational science, and translational