73 parallel-processing-bioinformatics research jobs at University of Michigan in United States
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participants? condition and test results during the course of clinical studies. Relay relevant results to the clinical team. Collect and record participants study-related data. Collect, process, label, store
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education and experience. At least six months of previous research experience, clinical/hospital work or volunteer experience, and/or knowledge of the research process Previous clinical research experience
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in the position and outline skills and experience that directly relate to this position. Job Summary The Michigan Medicine Department of Orthopaedic Surgery provides outstanding, state-of-the-art
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education and experience. At least six months of previous research experience, clinical/hospital work or volunteer experience, and/or knowledge of the research process Previous experience with quantitative
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position is a great opportunity to learn more about the human subjects research process from start to finish, gain experience in 1:1 participant contact (both through interviews and intervention) and expand
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blot, immunofluorescence) Cell transfection Mechanical testing and biomaterials characterization Quantitative image analysis Computational skills including data processing and statistical analysis Prior
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seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting
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; treat others with respect, and dignity, and in a manner where individuals feel they belong; listen; value feedback; and learn from the perspectives of others. The stipend will be $70,000 per year based
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days-to-weeks timespans, will process output and analyze results. Required Qualifications* PhD in Neuroscience. At least 5 years of experience with rodent brain surgeries, neural data analysis and coding
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skills, work ethic, and conceptual knowledge. The Michigan Medicine Department of Orthopaedic Surgery provides outstanding, state-of-the-art, evidence-based care for musculoskeletal injuries and conditions