125 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" positions at Zintellect
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and implementation of energy technology policies; apply their scientific, policy, and technical knowledge to the development of solutions to issues of importance to the DOE and continue their education
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community of scientists and researchers in an effort to explore the use of alternative systems of electrically heated pavement systems as a proactive road deicing solution and develop enhancements to improve
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of Missouri campus. Research at this facility involves optimizing agricultural production systems for improved sustainability by developing tools for assessment of soil health, among other objectives. Research
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readiness by identifying and assessing current and emerging health threats, developing and communicating public health solutions, and assuring the quality and effectiveness of the DHA's Public Health
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Description The U.S. Army Engineer Research and Development Center's Coastal & Hydraulics Laboratory (CHL) performs research on ocean, estuarine, riverine, and watershed systems in support of the U.S. Army
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and often different from the canonical types of data used to benchmark machine learning (ML) algorithms. In this opportunity, we will be evaluating how state-of-the-art ML techniques can be used
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Mexico, and elsewhere), and in relating particle composition to measurements of size distributions, air mass trajectories, etc.; (2) development of algorithms to process complex spectral data and identify
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the guidance of a mentor, you will engage in various research activities, including: Contribute to the development and use of self-assessment, community assessment, and various measurement tools to identify
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Description The U.S. Army Engineer Research and Development Center's Coastal & Hydraulics Laboratory (CHL) performs research on ocean, estuarine, riverine, and watershed systems in support of the U.S. Army
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. Developing tools and visualizations to support internal decision-making. Identifying patterns, trends, and anomalies in operational data. Testing data quality and working with imperfect or incomplete data