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experimental procedures. Data preparation for oral presentations, grant applications and publication in professional journals. Implementation of bioinformatics approaches. Conformance to standards of responsible
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epidemiology methods relevant to cancer and population health, especially for secondary data analysis; Develop advanced statistical methodology, causal inferences in observational data, quasi- experimental
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
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requirements Experiences See job description for requirements. Skills See job description for requirements. Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard
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-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome
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part of a long-standing research program at Duke for rigorous computational modeling and experimental characterization of both invasive and non-invasive neurostimulation. The strong interdisciplinary and
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depends onthe robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all
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pathways and mechanisms underlying autoimmunity from a lncRNA and epigenetic gene regulation perspective. We utilize biochemical assays, tissue culture, mouse transplantation & disease modeling experiments
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demonstrating competence in critical scientific thinking and research creativity in plant molecular biology including epigenetics and genome engineering in Arabidopsis. Experience with Arabidopsis plants is
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relevant experience(s) based on the job requirements. Responsibilities: · Manage, store, and analyze clinical research data · Conduct systematic literature reviews, develop hypotheses, critically think, and