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on an optical table and integrating novel optics to microscopy are a requirement for this position. Knowledge in computational imaging, mathematical modeling, strong computer programming skills in MATLAB and/or
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studies by cryo-electron microscopy (cryo-EM) and/or X-ray crystallography. Perform data processing and model building (e.g., Relion , CryoSPARC , Coot, PyMOL ). Option 2 : Cell Biology Design and execute
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
line of research designed to establish a paradigm shift in our biomechanical understanding and clinical management of age-related mobility impairment toward feasible and cost-effective devices to modify
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are separate from the natural world – upon an increasingly dominant paradigm in environmental science – social ecological systems, which acknowledges that human social systems are part of natural ecosystems
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of dehydration. Upon these experimental study, we will develop a working prototype with all proposed functionalities. The proposed system will be the first wearable dehydration sensor targeting
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and mathematical approaches to signal analysis, information theory, computational biology and image processing. The term of appointment is one year with the possibility of renewal pending satisfactory
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of the opioid oxycodone on maternal physiology, placental function and fetal brain development in pregnant rats. Work with an experienced research technologist and graduate student to harvest and process tissue
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. The knowledge gained using our “tumor ecology” paradigm will be translated into improvements in cancer prevention, diagnosis and therapy. Responsibilities Perform cell culture and tumorigenic assays with cancer
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Microanalytical and Imaging Consortium (SENCR-MIC) and Interdisciplinary Materials Research and Education Laboratory (IMREL). Primary Purpose of the Position: The position’s primary purpose is to conduct research
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to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered nurses (RNs) caring for patients having colorectal surgery. This is a six-month multisite study funded by the AI