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Field
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, computer simulations and experiments, both in fundamental and in more applied directions. The center works to advance the understanding of porous media by developing theories, principles, tools and methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
of microscopy and imaging techniques is a plus. Willingness to learn new in vivo and in vitro techniques, such as performing animal surgeries, intra-muscular, intra-articular and intravenous injections
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-cell genomics, transcriptome imaging, optical electrophysiology, and machine learning to study how the genome builds a brain across spatial and temporal scales. Key questions we aim to address include: 1
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, research, and public service. Job Description Purpose: The Department of Electrical and Computer Engineering and AggieFab Nanofabrication Facility at Texas A&M University seeks a Postdoctoral Researcher to
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optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques to quell opto-mechanical
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Posting Details Posting Details Posting Number 0801675 Classification Title Postdoctoral Research Associate- Autonomous Systems and Machine Learning Working Title Department College
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• Effective communication skills Preferred Qualifications • Expertise in one of the following areas: Environmental or Performance Physiology, Machine Learning, Motion Analysis, Multiscale Modeling
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to apply. Experience in computer programming (e.g., Matlab, Python), neuroinformatics, and/or advanced microscopy tools is plus, but not required. More details of the lab including publications can be found
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, skills and abilities: -Proficiency in image analysis using machine learning methods. Continued employment in this position is contingent upon availability of funds. Please attach the following to completed
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim