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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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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
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will research topics related to the regulation of human drug compounding, including, but not limited to specific bulk drug substances that are used in compounding, advancing FDA's development of the Bulk
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 4 days ago
, or sunscreens to support monograph development and updates. Participants will engage in learning opportunities through mentored training sessions focused on OTC drug monograph research methodologies and
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days ago
of pregnancy and lactation postmarketing requirement studies. Pregnant and lactating women have historically been excluded from drug development trials. Therefore, at the time of new drug/biologic approval
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 4 days ago
unstructured submission data for model development; 2) Apply AI methods to identify key clinical and biomarker features that drive response to therapy; 3) Contribute to manuscripts, reports, and presentations
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for the Pitkow Lab. Core Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments
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of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
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-seq and next generation long reads sequencing from Oxford Nanopore. · Participate in the development of new computational methods for downstream analysis of genomics data and multiomics
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career development. For more information about Dr. You’s lab, please visit here. As a successful candidate, you will: Lead independent and collaborative projects investigating the molecular and cellular