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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data
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experiences of crisis. In what ways do migrants embody times of crisis by carrying crisis with them across borders and relocating to a different political system, and how do the receiving society experience
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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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data and clinical information. Applicants must hold (or be close to completing) a PhD in a relevant field and have expertise in modern computer vision and AI research. Experience with biomedical data
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perform Lab-3DµXRD experiments to follow microstructure evolution during annealing and stress-corrosion tests on aluminum samples processed using different laser powder bed fusion parameters to perform
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additionally learn a cutting-edge technique called cyclic immunofluorescence (CyCIF), which allows spatial resolution of different cell states within a tissue in order to understand how tumors are organized and
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, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment to research. Curiosity and creativity with an aim
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
techniques and approaches to difference image analysis, survey-scale photometric calibration and detrending, periodicity searches, and/or other areas. A negotiable fraction of this role is reserved
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relevant field at the PhD level with zero to five years of employment experience. Experience with deep learning frameworks (PyTorch, TensorFlow, JAX). Strong background in computational image processing and
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The Department of Medicine, Division of Cardiology, at the University of Virginia is seeking a Postdoctoral Research Associate with a keen interest in sex differences in cardiovascular disease and