53 assistant-professor-computer-science-data Fellowship research jobs at University of Michigan
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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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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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research group that integrates insights from psychology, cognitive science, economics, and related disciplines. Our research focuses on motivated preferences for information and the role of beliefs in social
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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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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
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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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the collected data. Participate and Assist in Manuscript writing for publication in peer-reviewed scientific journals and/or presentations and also Assist in Grant Writing. Participate regularly in lab meetings
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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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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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?an Assistant Professor in Pathology & Urology in the Michigan medical school. The candidate will be provided thorough training in all tasks required as part of the job and will be involved in collaborative and