17 parallel-processing "Computer Vision Center" Postdoctoral research jobs at Cornell University
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research project in any of several areas relevant to this topic, and to explore multiple lines of research in parallel. Most projects employ a combination of bacterial genetics, high throughput genetic
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work safely and independently in a cleanroom Receive hands-on tool training and technical training on fabrication technologies, such as thin film deposition, furnace processing, photolithography, and
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important role in the Kavli Center for Nanoscience, and the Cornell Center for Material Research. We boast access to cutting edge facilities including the Cornell High Energy Synchrotron Source and
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Institute and Cornell Center for Advanced Computing. Essential Qualifications PhD in computer science, physics, chemistry, materials science, or a related field is required by the start of the
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Jacob’s Institute The Urban Tech Hub at the Jacobs Institute at Cornell Tech is a pioneering academic center in New York City focused on transforming urban living through technology. We drive applied
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scientific discovery, collaborative working experiences, and professional mentorship and support. The postdoctoral associate will be affiliated with the Center for Avian Population Studies (CAPS, https
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discovery, collaboration, and professional development. The postdoctoral associate will be affiliated with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center-for
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further insight into the technical vision, objectives, and impact of these initiatives. Join us in shaping the future of micro/nanoelectromechanical systems, intelligent hardware, and emerging computing
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students in research activities Requirements: Ph.D. in Engineering Education, STEM Education, Engineering, Computer Science, or a related field. Demonstrated expertise in quantitative, qualitative
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qualifications: PhD in Epidemiology, Data Science, Applied Mathematics, Computer Science, Statistics, Public Health, Economics or related computational field. Demonstrated experience in epidemiological