21 postdoc-computational-biomedical-engineering Postdoctoral positions at University of Virginia
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The College of Arts & Sciences at the University of Virginia invites applications for several Postdoctoral Research Associate and Lecturer positions in the College's core Engagements program for a
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science, engineering, sociology, economics, management, or related fields). We seek applicants with strong computational and statistical skills, experience with managing large datasets, and fluency with
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. Minimum Qualifications: Education: Ph.D. or equivalent in engineering, physics, chemistry, or any biomedical science Preferred Experience: A strong background in the theoretical and experimental aspects
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Brofft, Senior Recruiting Specialist, xmf9ad@virginia.edu . For information on resources for postdocs at UVA, visit https://postdoc.virginia.edu/ . For more information on the Charlottesville community
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research program sponsored by federal agencies such as the U.S. Department of Defense and the National Science Foundation (NSF). The focus of the research is on developing innovative physics-informed deep
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applicants interested in developing a research program in the field of cancer biology are welcomed to apply. Expertise in the fields of molecular biology, cell biology, and genetics are expected. Experienced
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Collaborate with leading researchers within and outside UVA Qualifications: U.S. citizenship required Ph.D. in Data Science, Statistics, Computer Science, Network Science, Physics, Engineering, Sociology
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science, engineering, bioinformatics, computational biology, or related fields. Preferred Qualifications: Multi-Omics and Genomics Expertise: Strong experience with large-scale datasets from public repositories, crucial
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) for the Black Fantastic Media Research Lab. Conduct independent research and publish in the research associate’s area of specialty Represent the program vis-à-vis other research programs and functional support
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through the implementation of the Coping Power Rural Program , Double Check Online program, Integrative Data Analysis Projects, the mental health screening of students, and related evidence-based programs