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develop novel methodologies that advance the state-of-the-art in autonomous vehicle technology while ensuring research outcomes are reproducible, well-documented, and aligned with safety-critical system
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, engineering, and development responsibilities as assigned by the supervisor Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can
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fundamental research and applied validation underlying a multi-chamber cancer-detection device from concept through integrated laboratory demonstration. You will develop user-oriented sample-handling and assay
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multidisciplinary team tackling critical issues in cancer detection and provide support in the applied nanotechnology lab to assist in the development and execution of research projects related to the production and
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multidisciplinary team tackling critical issues in cancer detection and provide support in the applied nanotechnology lab to assist in the development and execution of research projects related to the production and
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. This project provides a vibrant learning environment for all the trainees. The PI is committed to the professional development of the postdoc associate in addition to their technical excellence. Core
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events. Maintain and perform analysis on large quantitative datasets; develop and implement statistical or machine learning models to recover patterns of technology adoption, task organization and skill
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events. Maintain and perform analysis on large quantitative datasets; develop and implement statistical or machine learning models to recover patterns of technology adoption, task organization and skill
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stakeholders. · Along with Prof. Carley, prepare and submit a yearly report to the sponsors. · Look for opportunities with local and federal policy stakeholders to share and highlight IDeaS research
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sophisticated independent and/or advised research to achieve the objectives of the research project. Organizing and implementing complex research plans Development of methods of research, testing and data