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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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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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for new types of porous materials that will lead to high-working capacities. The appointment is for 12 months with the potential for an additional 12-24 months depending upon performance. Other projects
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microbiome data and/or analyzing sequencing data in a high-performance computing environment. Experience in BSL2 laboratory and familiarity with ELISA techniques. Demonstrated fieldwork experience in community
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to aquatic biogeochemistry, ocean color, or optical water quality. Proficiency with cloud computing and high-performance computing platforms. Familiarity with interdisciplinary collaborations involving
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-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency and reliability of scientific discovery
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Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial intelligence (ML/AI) techniques that incorporate
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applying advanced computational and experimental approaches to address complex environmental and infrastructure challenges. The postdoc’s work directly supports high-impact research outcomes, student
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counts) and several areas are ranked in the top 70, including high-performance computing (#12), operating systems (#11), databases (#29), computer architecture (#46), embedded & real-time systems (#54), AI
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experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction. Strong background in computational sciences, including numerical methods, high-performance computing