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Field
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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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Florida International University is a top public university that drives real talent and innovation in Miami and globally. Very high research (R1) activity and high social mobility come together
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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 hydraulic flood
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industrial heat pumps). The role also involves research and analysis of technologies and practices for increasing the energy efficiency of the industrial sectors. The primary objective is to deliver the direct
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imaging quality control and processing. Assist with grant applications, manuscript preparation and supervision of RAs and volunteers. Performs other duties as needed. Required Qualifications Ph.D degree in
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Classification Title: Post-Doctoral Associate Classification Minimum Requirements: PhD in physics. Job Description: The High Energy Theory group at the University of Florida (UF) invites
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Applicants must have a PhD or foreign equivalent degree in quantum information science, high-energy physics, nuclear physics or computer science, broadly defined, by the date of appointment. Instructions
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This is an opportunity for a knowledgeable and creative individual to be part of a team using artificial intelligence and high-performance computing to evaluate the state of health (SOH
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). Knowledge of high-performance computing or cloud environments for large-scale data. Strong collaboration skills and ability to work in interdisciplinary teams. Special Requirements: Applicants cannot have