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of Dr. Mamoun Alhamadsheh. The fellow will be focused on developing the research program of the Alhamadsheh’s lab funded by a research grant from NIH awarded to Dr. Mamoun Alhamadsheh. Essential Functions
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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advanced pharmacy practice and a desire to acquire extensive experience in ambulatory care practice and research. The well-rounded training and experience gained through this program equips graduates to be
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send materials to ukarvind@umich.edu with Subject "SIBL Bioinformatics Postdoc". Job Summary The Systems Imaging and Bioinformatics Laboratory (SIBL) in the Department of Computational Medicine and
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and interdisciplinary research-from materials chemistry to protein science. It is a key member of the world-class Bio21 Institute and home to the Melbourne Centre for Theoretical and Computational
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project: “Climate Transformation Program (CTP): Cross Cutting Theme 1 – Sustainable Societies” funded by the MOE Tier 3C Grant. CTP aims to develop, inspire, and accelerate knowledge-based solutions and
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Hours Per Week See description Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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or supervise students Proven ability to develop course material with appropriate guidance from the program coordinator Experience in performing administrative functions primarily connected with the area of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
of drug development, regulatory science, and advanced computational modeling. This position will involve integrating mechanistic modeling and machine learning methods to analyze and predict drug properties