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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
and graduate students Minimum Acceptable Education & Experience: PhD degree in Civil Engineering, Geography, or related fields Required Knowledge, Skills & Abilities: Proficient in geospatial data
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want The postdoctoral research associate will be working on developing machine learning/artificial intelligence algorithms for various applications, including energy systems, health systems, and marine
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. Qualifications: Minimum Qualifications: PhD in Biomedical Engineering or related field from an accredited university, conferred by the start of employment Working knowledge of research being undertaken Laboratory
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of inclusivity and teamwork. - Engage in ongoing academic and intellectual life within CALS and Cornell University. Requirements • PhD in ecology, quantitative ecology, applied statistics, or a
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Engineering Department 140401 - Electrical & Computer Engineering Job City & State Raleigh, NC
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STEAM education and dynamic campus experience. As New York State's premier public polytechnic, SUNY Poly fosters innovation and interdisciplinary learning across its four colleges--Arts & Sciences
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toxicity of tobacco products in youth. Qualifications: Minimum PhD or Equivalent in molecular biology, or other biological sciences. Other preferred qualifications: Experience working with patch clamp device
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. Minimum Qualifications: The candidate must have a PhD in a relevant field, such as planetary science, physics, chemistry, geology, Earth sciences, or geophysics, and must not have exceeded two years
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI