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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 Description of the research project in which
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) to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models
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Number req25611 Department Space 4 Center Department Website Link https://s4.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Space4 Center at the University of Arizona
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, control, and planning algorithms under environmental constraints. - Implementation of distributed simulation architectures (client-server, remote computing). - Analysis of simulation data and comparison
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position is available in the group of Prof. Alexey Nesvizhskii at the University of Michigan Medical School. The position will focus on developing computational algorithms and tools for the analysis of mass
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generalized parton distributions (GPDs). A key component of the PhD will also involve the development of novel algorithms designed to overcome current computational and theoretical challenges in hadron
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inference on resource-constrained embedded edge platforms. Establishing rigorous benchmarking methodologies to systematically evaluate the tradeoffs between algorithmic accuracy, compute latency, and power
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simulation environments such as Gazebo, AirSim, or Unreal Engine. Edge Computing: Proven experience deploying algorithms on resource-constrained edge devices for real-time inference and control. Drone
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algorithm showed very good results on simulation data and experimental data (https://doi.org/10.1364/OL.566273 ). However, this approach requires perfect knowledge of the lidar parameters. Thus, we propose
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of an AI-Driven Interoperable Precision Irrigation