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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 20 hours ago
and become efficient in using various computing languages, such as R, C, and Python, to develop mechanistic models to simulate human pharmacology and utilize High Performance Computing for data analysis
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. Activities may include training and supervising research assistants; experiment design, data collection and analysis, manuscript preparation and grant-writing, and collaboration with the research lab
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are either 12 or 18 months in duration. For information on the previous Leadership in Government Fellow cohorts, please visit the Past Fellows tab on this page. The Leadership in Government Fellowship program
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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/Fall 2026). Job Description: The Visual Cognition Lab studies how humans perceive, interpret, and navigate real-world scenes, linking visual information, semantic inference, and task demands to behavior
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sequencing, metabolism, drug development, structural biology, and large-scale data analysis and computational biology. For more information about Dr. Deng’s lab, please visit here. As a successful candidate
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— enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the department
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. Additional Information Please reach out to lafayettefellowship@villa-albertine.org with any questions.
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, including other Harvard Medical School-affiliated hospitals. The qualified candidate will analyze multi-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment
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application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant experiences