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members, with approximately 2,000 undergraduate and 2,400 graduate students. It is the leading national model for education and research in the health, psychosocial and biomedical sciences and supports
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signaling models”. The scholarship is full-time for 2 years, with access starting in May 2026 or by agreement. The research will be carried out in the laboratory of Cemal Erdem at the Department of Medical
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this position is not automatically eligible for the NC Teachers and State Employees Retirement System (TSERS), new hires transferring from another North Carolina state agency and current ECU employees
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at www.jobs.ecu.edu. Two to three current letters of recommendation are required for employment and should be received through PeopleAdmin. Applicants must be currently authorized to work in the United States on a full
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of these projects. Research (65%) • Develop and implement biomaterial design strategies to support research objectives and long-term project goals. • Review and synthesize current scientific literature to inform
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administrative and technical tasks; identifying equipment needs, making purchases, and maintaining field equipment; research literature in order to maintain a current knowledge of laboratory research methods and
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practice model, current standards of practice and clinical experience to provide "quality" patient care as measured by established nursing quality standards and other governing/accrediting health care bodies
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practice model, current standards of practice and clinical experience to provide "quality" patient care as measured by established nursing quality standards and other governing/accrediting health care bodies
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-sensory-guided behavior. The lab uses animal behavior, optogenetics, multi-area in vivo electrophysiology, and computational modeling tools to study information flow between cortical and subcortical brain
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, or generative AI related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery