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lanl_dynamics
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lanl_dynamics [2020/08/29 23:22] puentes created the LANL dynamics page |
lanl_dynamics [2021/02/11 22:56] (current) puentes |
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| * Eligibility: Undergraduate senior to 1st year graduate students in computer science, aerospace/mechanical/nuclear/electrical/civil engineering, and mathematics/statistics. | * Eligibility: Undergraduate senior to 1st year graduate students in computer science, aerospace/mechanical/nuclear/electrical/civil engineering, and mathematics/statistics. | ||
| * Funding: Fellowship amounts range from $7,500 to $11,500, depending on academic status and the point of origin for the student’s travel to Los Alamos National Laboratory | * Funding: Fellowship amounts range from $7,500 to $11,500, depending on academic status and the point of origin for the student’s travel to Los Alamos National Laboratory | ||
| - | * Application deadline: Early January (To Be Updated) | + | * Application deadline: January 11, 2021 |
| * Website: https://www.lanl.gov/projects/national-security-education-center/engineering/los-alamos-dynamic-summer-school/index.php | * Website: https://www.lanl.gov/projects/national-security-education-center/engineering/los-alamos-dynamic-summer-school/index.php | ||
| * Notes: Students will be placed into 3-person multi-disciplinary teams, assigned a research activity to be completed in an intense 10-week time frame, and partnered with Los Alamos National Laboratory. Students will participate in weekly tutorials on various aspects of dynamic system engineering and cyber-physical systems such as signal processing, modeling dynamic systems, system identification, embedded systems, model validation, nonlinear systems, and machine learning. | * Notes: Students will be placed into 3-person multi-disciplinary teams, assigned a research activity to be completed in an intense 10-week time frame, and partnered with Los Alamos National Laboratory. Students will participate in weekly tutorials on various aspects of dynamic system engineering and cyber-physical systems such as signal processing, modeling dynamic systems, system identification, embedded systems, model validation, nonlinear systems, and machine learning. | ||
lanl_dynamics.1598757729.txt.gz · Last modified: 2020/08/29 23:22 by puentes
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