53 computer-science-programming-languages-"CNPEM" Fellowship positions at University of Michigan
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. Required Qualifications* PhD in computer science, computational biology, or related quantitative field. Strong oral and written communication skills. Desired Qualifications* Computational biology experience
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reflected on your resume. How will that contribute to your success in the BI Innovation Fellowship Program? iii) Outside the scope of your research where you had to problem-solve and demonstrate leadership
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Qualifications* Ph.D. in Robotics or Engineering Excellent written and oral communication skills Excellent attention to detail and organization skills Experience with human subjects research and clinical trials
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years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries
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. Required Qualifications* Educational & Experiential Requirements: A Ph.D. in Speech and Hearing Sciences, Psychology, Neuroscience, Cognitive Science, or a related field. A track record of published research
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conjunction with the PI. Think creatively about research projects to help shape the long-term direction of the lab?s research program. Work cooperatively with other members of the lab and assist in training
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. Assists with the creation of posters, manuscripts, and presentations for scientific meetings and/or grant submissions. Provides other support to the program as directed. Required Qualifications* Must
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excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our
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your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published manuscript(s
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Master of Science degree in Health Services. Our proposed Core Program will provide trainees with rigorous scientific and biostatical training and expanded knowledge beyond their oftentimes narrow research