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embedded FPGA-based intelligence near seismic sensor arrays, you will explore methods to maximize prediction performance while minimizing data transmission and latency. Your key tasks include: Evaluating
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feeds Development of a sensor platform for multimodal Camera/RADAR perception assisted by AI H/F 31 / 789 vacancy Vacancy details Position description Category Mathematics, information, scientific
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Australian National University | Canberra, Australian Capital Territory | Australia | about 19 hours ago
Nations and tools and processes for water resource management. Supervisor: Dr Serena Hamilton, Fenner School of Environment & Society Optimal Cross-Scale Irrigation Operation in the Era of Sensor
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filtering. These torque estimation methods allow much more freedom in sensor placement and reduce the number of sensors needed to characterize the full torsional response of the powertrain. This project
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systems that go beyond the state of the art by developing advanced vision sensor concepts, scalable embedded vision systems, and machine learning methods for industrial high-performance visual quality
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communication. The research will study how radio signals and multimodal sensor observations can be jointly exploited by intelligent physical systems, such as robots, vehicles, and distributed autonomous
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University of California, Los Angeles | Los Angeles, California | United States | about 19 hours ago
with clinicians, engineers, researchers, and industry partners to transform multimodal health data—including wearable and sensor data, medical images and video, speech, human movement, physiological
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publication and conference venues. We are seeking applications from researchers in the broad domain of computational and applied mathematics, including algorithm analysis, applied probability, combinatorial