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Field
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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, high performance computing and deep learning. The candidate will work in a collaborative research and development environment focusing on designing, implementing, and applying robust and high performance
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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cutting-edge, high-performance computing platforms • Have opportunities to publish in leading peer-reviewed journals, present research at conferences, and visit academic collaborators at CU Boulder and
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bridging basic science discovery with translational application, this role offers the chance to work on high-impact projects with direct relevance to maternal-fetal medicine and pediatric surgery. Key
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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Mississippi. Apply computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate
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, high quality clinical, preventive, and consultative health services to over 8,000 Princeton undergraduate and graduate students and their dependents, and occupational health services to Princeton