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required Working knowledge of all aspects of planning and deploying an AI project, including initial problem specification, data gathering and analysis, model creation, and implementation Strong
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space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer science, or other relevant fields and strong interest in technical and policy research
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, the Bush Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes. Medical, prescription drug, dental, vision
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biochemistry techniques in weed science is essential Ability to use R statistical program or python is required Expectation of experience in computational tools and unix for analyzing and visualizing large data
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review of past field campaigns, through interactions with project stakeholders) Participate in summer field work Conduct observationally based research into the urban boundary layer using “big data” (e.g
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employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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deep expertise in computational approaches to social science, including but not limited to the collection and analysis of large amounts of data. The applicant will be intimately familiar with
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paradigms in primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science
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interpretation of study results, and work with a multidisciplinary team to advance The Dunn Lab’s research mission. All studies will involve analysis of data from large-scale epidemiological studies that have