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Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to advance software network controls and data sharing mechanisms to enhance
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of scientists and researchers. Through this fellowship, you will acquire practical, hands-on experience in designing and constructing software tools for Next-Generation Sequencing (NGS) and synthetic
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community of scientists and researchers. Through this fellowship, you will acquire practical, hands-on experience in designing and constructing software tools for Next-Generation Sequencing (NGS) and
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repository, and to utilize software development across the Agency. This opportunity will mostly be conducted in a Unix environment and on high-performance computing equipment. Learning Objectives: Under
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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
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of basic and applied research Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment Contribute to answers for today's pressing scientific
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. Description: NASA Inexpensive Network Sensor Technology for Exploring Pollution (INSTEP) is a low-cost air quality sensor network utilized in combination with NASA remote sensing datasets to analyze air quality
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this opportunity? Please email [email protected] Qualifications PhD in astronomy/astrophysics/astrochemistry/planetary science. Applicants with experience with Python, git/github, ai-leveraged software
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creates a pathway for you to advance your PhD thesis research while conducting research at a DOE National Laboratory, collaborating with world-class scientists, and using state-of-the-art facilities and
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opportunity at ARL The objective of the research topic should be clear and have a defined outcome Explain the direction you plan to pursue Include expected period for completing the study Include a brief