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(SEBS) and various other departments, is seeking an outstanding Postdoctoral Associate. The Postdoctoral Associate will conduct specialized research on a collaborative project on the origin, evolution and
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. The researcher will lead the ongoing development of a techno-economic Web-GIS tool for offshore renewable energy, secure competitive research funding, engage in the wider research activities of the ORE Group and
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on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches for coupling functional
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postdoctoral research scholar position is available with the Modernizing Fertilizer Recommendations: Fertilizer Recommendation Support Tool, or “FRST”, initiative. This project has developed a relational
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Associate will contribute to ongoing projects and have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding
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computational methods to develop critical medicines for improving global health and equality. For low-income populations in developing countries, access to life-saving medicines is often fraught with obstacles
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objects or systems, experience developing and running codes for simulating astrophysical nuclear reactions and in evaluation of thermonuclear reaction rates, experience working with graduate and
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excimer lasers for laser inertial fusion energy. Conferences, Publications, etc.: Write scientific papers, participate in conferences, prepare PowerPoint presentations/slides, make calculations, and
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modeling and simulation tools DESIRED QUALIFICATIONS: Experience using NONMEM, R, Monolix and/or other platforms for analysis of clinical and/or preclinical pharmacology data; development of web-based tools
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 12 hours ago
located at the MU Bond Life Sciences Center and focuses research on emerging and re-emerging infectious diseases, especially influenza viruses and SARS-COV-2, by developing and applying integrated, multi