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current employee at American University, please log into Workday and select the Find Jobs report which will take you to our internal career listings. Contact Us For more information or assistance with
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Apply Now How to Apply Interested individuals should send a CV, a brief description of research accomplishments and future goals, and the names and contact information for 3 references to Regina
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, stakeholders, and the public to support the development and delivery of the research project. You will be involved in all aspects of the evaluation, including literature reviewing; data collection, analysis and
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Position Information Position Information Posting Number F-1028 Position Title Synthetic Carbohydrate and/or Lipid Chemistry Postdoctoral Research Fellow College/Unit College of Science and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 1 hour ago
-on training to retrieve data from relevant FDA databases and tools. Under the guidance of mentors, you will learn about regulations, policies, and procedures pertinent to postmarketing drug safety surveillance
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(specifically PCECs). Proven experience in developing and validating numerical models (e.g., using COMSOL). Hands-on experience with programming for numerical optimization, machine learning, and data processing
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count data, offering a rare opportunity for applied research and experimentation. The postdoctoral research fellow will be supervised by the principal investigator Dr. Adrian Chong from the Department
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of data collectors; and working with multi-country teams. Availability and willingness to travel abroad, including to Lebanon, are essential. Further particulars are included in the job description. The
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some but not all of the responsibilities outlined below. Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication
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biology and advanced quantitative data analysis. The role will involve the design and management of research databases, analysis of large and complex clinical and molecular datasets, coordination with