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Field
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to research, develop, and evaluate algorithms for a variety of geospatial, signal, and/or image processing applications. The successful candidate will have a solid background in computer science with strong
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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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-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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-sensor fusion, and propagation modeling — to develop AI-enabled detection, classification, and triangulation algorithms for critical energy infrastructure applications. This position resides within
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postdoctoral researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming
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algorithms plan and carry out data collection at research facilities analyse and interpret sensor, 3D imaging, and health‑assessment data collaborate with academic and industrial partners publish research
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to test and validate advanced control strategies in a full-scale operational building. The building will be equipped with a comprehensive sensor network, including access to real-time camera-based occupant
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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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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow's technology in-house for a sustainable and secure society. When will
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models using experimental data from drivetrain test benches equipped with load, temperature, vibration, and acoustic sensors. Integrating the models into a Model-Based Systems Engineering (MBSE) framework