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Field
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
validation of human-based in vitro and computational methods submitted to FDA for regulatory use. The developed models will be used to predict various toxicity endpoints and drug exposure to help provide
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
development have been restricted to juvenile animal studies for the past 20 years. The FDA program to reduce, refine and replace animal studies has stimulated an important discussion about both increasing
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 2 days ago
): The objective of the research project is to advance the understanding of biofilms on medical devices which have been associated infections. The project will include developing methods of detection
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or related professional studies, including at least a 3.75 grade average during the last two years of undergraduate work (although outstanding achievements in scientific or technological developments
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. This project involves the development and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in the dynamics of G-protein coupled receptors to enable
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
reviewers' conclusions in queryable databases; however, reviewer conclusions are only successfully recorded for a subset of the toxicology study data submitted. These databases will be utilized to train
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and outreach programs to all members of the university community and participates in a variety of training and other professional development activities. The Post-MSW Fellow also receives in-depth
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of SGLT2 inhibitors using mice models of kidney diseases. Contributing to the development of uremic toxin measurements in mice and human. Collaborating with faculty and staff on research design, data
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opportunity: · Development of cell-free DNA (mutation and methylation), RNA, and exosomal-based liquid assays for early cancer detection, prognosis, and predictive responses to chemotherapies and
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected