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Field
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fellow. Highly motivated individuals with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing
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maintains program operations, which may include teaching and learning activities, program curriculum, learner scheduling, maintaining databases, tracking learner compliance, and program accreditation
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strongly encouraged to be active participants in these endeavors as part of their scientific career. Basic Qualifications ● Ph.D. degree in Bioinformatics, Biology, Computer Science, or other relevant
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discipline. Demonstrated wet lab experience in structural biology and working with proteins. Demonstrated computational programming skills including C and Python. In-depth understanding of protein, DNA, and
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into the design of a prototype implant to be tested in large animals. The Neural Engineering and Ophthalmology research environments are excellent. The Neural Engineering Training Program and the Vision Research
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of the fellowship training program. Minimum Qualifications Doctor of Medicine (MD). No experience required. Preferred Qualifications Completion of a clinical residency program is preferred. Baylor College of Medicine
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*Applications will be reviewed on a rolling-basis. FDA Office and Location: A research opportunity is available in the Office of Science and Engineering Laboratories (OSEL), within the Center
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direction of the fellowship training program. Minimum Qualifications Doctor of Medicine (MD). No experience required. Preferred Qualifications Completion of a clinical residency program is preferred. Baylor
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and nuclear structures during development (www.lsi.umich.edu/science/our-labs/herman-fung-lab). Qualified applicants will have experience in cell, structural or computational biology and a passion for
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
the guidance of the mentor, the participant will learn about the scientific issues and rational of our research program, its relevance to FDA’s mission, as well as published and unpublished studies