48 assistant-and-professor-and-computer-and-science-and-data Fellowship research jobs at University of Michigan
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data with behavioral and/or cognitive data in diverse study populations. Required Qualifications* Established record of peer-reviewed scientific publication. Prior experience / comfort with computer
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the project's multiple principal investigators (MPIs), the Post-Doctoral Research Fellow will contribute to the scientific aims of NSAL, including but not limited to: Assisting the MPIs and Project Director on
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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences
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time at computers for data analysis and documentation. Background Screening Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a
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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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. Erb Institute for Global Sustainable Enterprise at the University of Michigan is a joint program between the Stephen M. Ross School of Business and the School for Environment and Sustainability. The Erb
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how the opportunity will help you develop personally and professionally. Responses should be limited to 500 words or less. b) A written statement that addresses one (1) of the following prompts
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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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information from electronic health records Conduct systems biology research and analysis for high dimensional data Required Qualifications* PhD degree or higher in computer science, biomedical informatics