68 phd-in-integrated-circuit-design Postdoctoral research jobs at University of Minnesota
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Essential Qualifications Applicants require a PhD in a Biochemistry-related field Preferred Qualifications: Experience with animal behavioral studies, advanced statistics, and experimenta design
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or induces repair in the retina. The project will integrate mouse models of genetically modified cell death sensors, retinal degeneration and inflammation. Responsibilities: • Design and conduct in vivo
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. Qualifications Qualified candidates must have a PhD in Electrical Engineering or related field. About the Department ECE is one of the largest departments within the College of Science and Engineering. Current
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results and renewal of the grant. Essential and Other Functions: 50% Conduct experiments Independently conduct experiments. 20% Design Experiments Design routine experiments outlined in the grant
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reports, grant writing, and extension and professional presentations and activities Qualifications Required Qualifications: - PhD in soil science, agronomy, environmental science or closely related field
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the effectiveness of integrated disinfection controls. In this project, you would be assisting with this evaluation, which will drive the development of the device. This work will include comparative
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on application materials. Required Qualifications: • PhD in Immunology, Molecular Biology, or a closely related biomedical field • Strong foundation in cellular and molecular immunology, with demonstrated
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for sensemaking of mathematics in biology Helping the PI design, recruit instructors for, and conduct instructor workshops 10% Supervision and Teaching Assisting graduate students with research on sensemaking
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. Responsibilities (Must total 100%) 75% Experiment design and execution. 15% Data analysis and manuscript preparation. 10% Lab management and administration. Qualifications Required Qualifications: Doctoral degree
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic