37 parallel-and-distributed-computing-phd Fellowship positions at University of Michigan
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. Among the methods used are high-throughput CRISPR screening, protein deep mutational scanning, massively parallel reporter assays, and genetic manipulation of cell lines and mice. The successful candidate
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research that together enhance our contribution to society. Required Qualifications* PhD in computer science, engineering, applied mathematics, statistical physics, biology, or a related field. Reasonable
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to society. Required Qualifications* PhD in applied mathematics including mathematical biology, computer science, engineering, statistical physics, biology, or a related field. Reasonable communication skills
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Apply Now How to Apply To be considered for this position, applicants should submit the following materials: a cover letter, CV, one example of scholarly work, one example of a program that reflects
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reflected on your resume. How will that contribute to your success in the BI Innovation Fellowship Program? iii) Outside the scope of your research where you had to problem-solve and demonstrate leadership
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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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have exceptional resources to facilitate research including access to administrative, research, and computer support staff. Required Qualifications* PhD degree or equivalent in epidemiology, gerontology
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sociotechnical systems to procure and transport input feedstock for on site anaerobic digester operations Analyze sociotechnical system to produce and in the future, distribute output digestate and renewable
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: Completed a doctoral degree program (MD, PhD, DrPH, EdD, or equivalent) by the starting date. Demonstrated commitment and interest in opioid-related research. Research experience within a relevant discipline
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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