47 assistant-professor-computer-science-data Fellowship research jobs at University of Michigan
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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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opportunities to work with other investigators from Michigan and Harvard. Required Qualifications* Ph.D. in Statistics, Mathematics, Biostatistics, and Computer Science. Strong computing skills using R, Python
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of conducting and directing basic science laboratory research. The work will involve contributions to a cartilage regeneration-oriented research program, specifically focused on using synthetic biology tools
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qualitative and mixed methods research and developing psychosocial interventions are also desirable. Skill with conducting human subjects research, data management, statistical analysis, and the development
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social science fieldwork, such as interviews or surveys Knowledge about data science and computational methods, such as network analysis Familiarity with natural hazards and public health risks associated
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results against available experimental data. 3. Prepare manuscripts, proposals, and presentations for dissemination of research findings. 4. Advise and mentor student research assistants. Required
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five years). Desired Qualifications* Expertise programming in Stata Experience working with big data Expertise in class-based income inequality Experience working in the Census Bureau's remote computer
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into the design of a prototype implant to be tested in large animals. The Neural Engineering and Ophthalmology research environments are excellent. The Neural Engineering Training Program and the Vision Research
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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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of Michigan and integrate it with the RAPID multi-institutional research with approved IRB and finalization of research protocols; preparation for cadaveric anatomy stud Data collection & develop and