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independently lead their assigned research initiatives. The Researcher will coordinate and conduct scientific research involving various projects in the areas of mass spectrometry-based imaging, along with
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science, addiction research, child and adolescent mental health, computational psychiatry, psychopharmacology, and population mental health. This is an ongoing recruitment. Positions, including part-time
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and Eligibility Assessment (RESEA) program. This is a full-time, grant-funded position with an anticipated duration of 12–18 months, with a flexible start date beginning as early as September 2026
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federally funded research. In addition, the Research Assistant Professor will: Provide leukemia-focused scientific leadership for the NIH-funded T-ALL research program Design, develop, and execute mechanistic
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. The successful candidate will work closely with faculty, scientists, clinicians, informaticians, health professionals, and trainees across institutions to develop and apply computational methods for biomedical
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vary based on the position and may include: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined
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to influencing business education and business practices. Since 1898, the school has produced ideas and leaders that shape the world of business. Their rigorous, discipline-based approach to business education
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-based care with compassion, expertise and inclusiveness. Our vision is advance healthcare through collaborative and diverse teams that lead discovery and educate the future leaders in radiology. We
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Classification Title: Research Assistant Scientist Classification Minimum Requirements: Ph.D. in Computer Science, Biomedical Informatics, Data Science, Biomedical Engineering, Electrical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
an independent research program. * Experience utilizing high-performance computing or cloud-based environments for large-scale biological data analysis. * Demonstrated record of original scholarship, including