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and the application of machine learning to advance development efforts of these domestic sources by pinpointing opportunities, informing R&D, catalyzing innovation and maximizing resource value
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policy-related appointment. The DOE Office of State and Community Energy Programs (SCEP) is seeking ORISE fellows to participate in a community-based opportunity. Fellows will learn about technical
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: Biological and Biotechnology Sciences; Electromagnetic Spectrum Sciences; Energy Sciences, Humans in Complex Systems; Mechanical Sciences; Military Information Sciences; Network, Cyber, and Computational
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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-FRP How to Apply Please visit https://orise.orau.gov/netl/ to learn more about the program and the application process
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machine learning, coupled fire behavior/fire atmosphere modeling, air quality modeling, and system evaluation. Depending on their skills and interests, they can participate in various aspects of the project
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in several areas. These include, but are not limited to, Using MPS to identify new potential targets for future medical countermeasure development Learning development and characterization
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. The goal of this research is to enhance power quality and security for Naval power systems using non-intrusive approaches, advanced signal processing tools and machine learning to advance anomaly detection
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Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to learn and develop synthetic biology laboratory skills and
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for disease transmission. Research activities will include: Collaborate with subject matter experts to learn about the development of analytical tools for assessing Highly Pathogenic Avian Influenza (HPAI
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education and/or experience in one or more of the following: Experience with FPGAs, Microelectronics, Machine Learning, and/or Software Development using languages like C/C++, Java, and Python Application