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Disorders Program, Biomedical Laboratory Diagnostics Program, Public Health, and multiple undergraduate and PhD programs in biological/biomedical sciences. This encompasses approximately 2,000 academically
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the College of Social Science • Authorize veteran’s certifications and manage access to secure student systems. • Ensure compliance with Responsible Conduct of Research (RCR) and university policies. • Maintain
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eight departments span a wide range of disciplines with strengths in computational sciences, energy, health, manufacturing, materials, mobility, security, and sustainability. Collaboration is at the heart
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program, and mentor student research teams. IPPSR operates within the College of Social Science and seeks to apply research to urgent public issues by offering survey services, educational programs, and
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requirements, including curriculum design, evaluation methodologies, and compliance with program standards Leverage extensive experience in Graduate Medical Education (GME) leadership to advise on developing
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supervising, coaching, training, and/or mentoring. Demonstrated ability and skill in educational program planning, implementation, and evaluation. Ability to demonstrate sensitivity, knowledge, and use
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application. Our eight departments span a wide range of disciplines with strengths in computational sciences, energy, health, manufacturing, materials, mobility, security, and sustainability. Collaboration is
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Integrative Physiology (MCIP) graduate program, popularly combined with professional degrees (MD, DO, DVM); and vibrant research programs in areas such as cancer biology, cardiac pathophysiology, diabetes and
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to build trust and belonging with students, families, educators, and community partners. Experience using technology and data to inform program evaluation and decision making. Experience using social media
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systems with emphasis on application security and proactive maintenance. - Collaborating across teams to determine technology needs and integration solutions for projects of medium to high complexity