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of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and
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of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and
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the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan
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communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is
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development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and
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development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and
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applicants will have experience in cellular and molecular biology. Experience in mouse modeling in cancer and flow cytometry is also highly desired. The Department of Radiation Oncology at the University
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Applications are being considered for a full-time, instructional/tenure track position in the Head and Neck Oncology Program (HNOP) and the Department of Otolaryngology-Head and Neck Surgery, University
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. Program Responsiveness: Support program needs, including but not limited to, mentoring/orienting new staff, adapting to shifts in technology, workflow, and organizational priorities as the unit evolves and
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* Bachelor's degree in a biological or physical science or bachelor's degree in computer science with a minor in a biological or physical science +2 years working experience in an academic, research, or science