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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
the nation for federal research expenditures 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
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including psychologists, psychiatrists, radiographers, and imaging scientists, supporting high-quality data collection, interpretation, and dissemination. They will also contribute to participant engagement
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At AAU Energy, a position as Postdoc in AI and Deep Learning for Radar-Based Non-Destructive Testing is open for appointment from 01.10.2026 or as soon as possible hereafter. The position is
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research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we drive
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, laboratory measurements, data analysis, prototype development, publications, and proposal development, while working collaboratively with faculty, students, and external research partners. In accordance with
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, quantitative image processing and data analysis. The postdoc will also contribute to the theoretical side of the project, developing models grounded in active matter physics, non-equilibrium statistical physics
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; The Biomass processing chain and quality tools; Image processing tools such as QGIS or SNAP. You should also have good interpersonal and communication skills and should be able to work in a multi-cultural
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identify those with the highest potential for early adoption in space engineering; translate theoretical advances into algorithmic innovations, design principles and prototype tools that can be integrated
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a demonstrated interest in cell biology and biological modelling. Have experience interpreting biological datasets, particularly imaging data and multimodal datasets combining imaging and molecular
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(NIH U01): A multi-site implementation science study evaluating precision imaging tools for Kaposi sarcoma in East Africa. The fellow will contribute to data analysis, manuscript development, and study