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Field
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of materials and devices during switching, combining methods such as laser pump and X ray probe total scattering, WAXS and SAXS, imaging, and femtosecond X ray diffraction to probe structure and dynamics in real
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we drive the translation of this strong basic
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, with expertise in cell culture (Human ES and/or iPS cells) Web-lab skills, including experience with stem cell culture (human ES and/or iPS cells) and molecular biology Expertise in imaging acquisition
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the PERMANENS Consortium, and will report to the PI, Professor Ella Arensman. The PERMANENS research project aims to develop a prototype of a Clinical Decision Support System (CDSS) software, designed to assist
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, QA/QC, harmonization, storage, and processing workflows across heterogeneous binational datasets for the TMDH framework. Support to develop APIs, dashboards, and decision-support tools (e.g., web-based
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data without compromising individual privacy. Using unique, nationwide Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly
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for Plant Systems Biology (PSB) is a world-leading plant science institute located at the heart of a renowned Plant Biotech campus in Ghent, Belgium. Its mission is to unravel plant biological processes and
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tasking in real time. The fellowship will investigate how mission planning can evolve from static scheduling to an adaptive, intelligence-driven process executed directly on board satellites. This includes
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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, imaging). • Solid foundations in signal processing and statistics. • Experience with machine learning for regression (e.g., tree-based methods, neural networks) • Hands-on experimental skills: ability and