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aided design (CAD), computer aided manufacturing (CAM), manipulation of digital manufacturing software tools, 3D object slicers, support structure optimizers, computer programmings, and scripting
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improve federal transit operations and oversight. Projects may include: Performing exploratory data analysis across diverse FTA datasets. Building and evaluating statistical and machine learning models
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on the extent and use of the Nation’s transportation system, how well the system performs, and the effects of the system on society and the environment. Are you ready to learn how to build consensus around
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, high-efficiency transmitters, low-phase noise RF sources, and other critical radar components. Topics also cover radar signal processing and machine learning, applying advanced techniques to enhance
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should I apply? As the selected candidate and under the guidance of a mentor, you will learn how research advances solutions to increase resilience, recovery, and readiness to maximize service member
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mission support personnel to learn the full OHS surveying process, gaining experience with equipment calibration, field study and collection, analysis requisitions, and report writing. You will participate
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of scientists and researchers in an effort to learn and perform structure-based protein design of vaccines and antibodies. Why should I apply? Under the guidance of a mentor, you will gain hands
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Eastern Time Zone Description Want to learn more about the US Department of Homeland Security and the research the agency and component agencies do to enhance your research interests and career goals
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at the intersection of virology, data science, ecology, and agriculture. Learning Objectives: Under the guidance of a mentor, the participant will have the opportunity to: Participate in laboratory or computational
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wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk