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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 4 hours 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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this position, click the "Apply for This Position" button located below the Contact Information. Contact Information Contact:Michael J Lynch - michael-lynch-2@uiowa.edu VPMA-Human Resources General Hospital 220
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) including training, research strengths, and publications Contact information for three professional references Questions about the position should be directed to Erin Giles at eringile@umich.edu. Job Summary
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Fellowship offers an opportunity to engage in multiple research projects involving applied science in education. This includes research-and-development initiatives and analyses of data from large-scale studies
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of health care markets. The fellow will also have time for their own complementary research, and we will facilitate access to our data sources in support of their research. The fellow will be supervised by
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and contact information for two references Unofficial graduate transcript (Optional) Research statement outlining past work and future directions relevant to the project Additional Information: Review
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of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis
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experimental expertise in large-scale fluorescence data collection and analyses. Ideal candidates will have additional experience in flow cytometry, imaging, cell culture, next-generation sequencing, and
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and the microbiome affect tissue fitness or cancer outcomes. We utilize state-of-the-art experimental and computational approaches to integrate genetic, epigenetic, metabolism and microbiome data