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Field
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the Computer Vision Lab, equipped with state-of-the-art visual sensors and acquisition systems, along with the Zero-G Lab, a unique facility designed to emulate proximity operations under space-like conditions
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, cellular, satellite, radio) into remote platforms. Optimizes systems for rugged, low-power field deployment. Creates and refines digital signal processing (DSP) algorithms, including filtering, Doppler
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passionate about applying ML algorithms and developing AI applied research and innovation solutions using classic ML to novel transformer neural networks. We test and measure the real customer impact of each
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person hired in the position will work on theoretical algorithms for robust multiagent system coordination, and deploy these algorithms on a state-of-the art swarm of UAVs. The PhD project will culminate
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-term R&D strategy aligned with national-security missions. Ideal candidates will be integrative and creative, applying new methodologies in quantum information R&D, software, algorithms, specialty
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and algorithm. 12 to 24 months: Photothermal, photoacoustic and hotspot characterization of several nanoagents with a significantly different hotspot effect. Parametric study in different experimental
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-on experience building or modifying equipment and working effectively within multidisciplinary teams. Experience with Linux, ROS/ROS2, electronics and sensor integration, algorithm design, and laboratory
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to diagnose changes in plant physiological status, water use, productivity, and resilience under heat and drought stress. Methodological development of remote sensing data products: Including cross- sensor
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technologies such as IoT, big data, analytics, computer vision, cloud computing, and artificial intelligence (AI). IoT devices help in data collection. Sensors plugged in tractors and trucks as well as in fields
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Allowance** EUR 4736 EUR 710 EUR 660 Context: Agriculture and agronomy generate a wide variety of data (connected equipment, weather, environmental sensors