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Field
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions for SDA
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research projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions
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ecosystem. Key Responsibilities Develop and optimize lithographic patterning of nano- and meso-scale structures, such as gratings, waveguides, cavities, and metamaterials for quantum and THz devices Integrate
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 3 hours ago
Strong mathematical foundation specifically in linear algebra, differential equations, and optimization Solid communication and teamwork skills Point of Contact Mikeala Eligibility Requirements Citizenship
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components. Work closely with a beam diagnostics physicist and controls group engineer to install and optimize diagnostic systems. Develop and integrate mmWave diagnostics equipment for beam position
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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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, with a focus on arboviral diseases (e.g., dengue or Oropouche viruses). Other projects include improving risk assessment, optimizing surveillance system design, and developing and evaluating mitigation
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
the multiple elements. Recent advancements in swarm and constellation optimization have made the concept more tractable, and ripe for exploration as a future architecture for the human exploration of Mars. Long
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
-body or highly nonlinear systems. The emphasis will be on how AI methods can both characterize and optimize trajectories within complex design spaces. Within this context, contingency planning