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Field
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modelling and related research topics. Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools. Design and
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Qualifications • PhD in Aerospace Engineering, Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, or a closely related discipline
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 8 hours ago
"space traits." Through this experience, the participant will gain hands-on training in sensor-based phenotyping and environmental simulation methods. These skills directly support NASA’s efforts
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher will carry
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at least one of the following areas: sensor-based field or laboratory data collection, driving or traffic simulation, behavior-informed digital twins, machine or deep learning, or computer vision Excellent
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) Experience with safety PLCs and functional safety practice (e.g., IEC 61508 or ISO 13849) Experience with digital twins or simulation-based testing of automation sequences Experience with computer vision for
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Help build the model library at the heart of UTOPYS, a new national facility for real-time power system simulations. Job description Future power systems are converter-dominated, fast, and
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-dimensional variational (4D-Var) modeling with research involving sensors and autonomous vehicles. The work will address autonomy and path planning; use Observing System Simulation Experiments (OSSEs
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positioning with filtered microwave wiring for qubit control and dispersive readout. Specific tasks include optimizing diamond sensor geometry, NV depth and NV-to-device standoff; developing pulse sequences
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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute