10 Computer Science Fellowship positions at University of Michigan in united-states-of-America
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Apply Now Summary We are looking for a postdoctoral fellow to work in the fields of in bioinformatics, biostatistics, machine learning, vaccine informatics, microbiology, immunology, and precision
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instructional activities due to seniority level Required Qualifications* A Doctoral Degree in Mechanical, Aerospace, Robotics, Naval Architecture & Marine Engineering, Scientific Computation, Electrical
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or higher in Computer Science, Data Science, Computer Engineering, Biomedical Engineering, Bioinformatics or related fields Expertise in Python and Matlab programming Previous published first author work in
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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
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of Clinical Pharmacy. The clinical and research program will focus on evaluating the implementation and program refinement of a novel Comprehensive Medication Management practice model for high cost, high
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aspects of the research program and supervise team members and students in project implementation. Adherence to laboratory regulatory policies and training compliance is essential. This individual must also
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Program Manager leads career and professional development programs and services for postdoctoral research fellows at the Office of Postdoctoral Affairs (OPA). This position will collaborate and liaise with
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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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The Tenuta Lab at the University of Michigan seeks exceptional applicants to join a vibrant research program focusing on developing new generation therapies for dental caries. Strong focus on biofilm microbial
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possess strong interpersonal and communication skills. The ideal candidate will use their molecular biology and computational skills, as well as creativity to help us understand complex genomic data sets