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subject safety; and Innovative Biopharmaceutics Assessment Tools - Developing predictive and quantitative methodologies for bioequivalence and substitutability evaluation. Learning Objectives: Under
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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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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 19 hours 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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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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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 19 hours 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 | about 19 hours 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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-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
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primarily with Drs. Terry Wahls and Linda Snetselaar. Additional nutrition scientist collaborators will include Dr. Tyler Titcomb. The scholar will analyze data from existing projects, develop manuscripts
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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