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in cooperation with scientists and stakeholders. Ecological monitoring is carried out through integrated recording of soil, crops, and landscape characteristics using multiple sensors, mobile measuring
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-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging techniques influence
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. Applicants should have strong expertise in computational analysis of electrophysiological data as well as proficiency in large language models and machine learning algorithms. First-hand experience in
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wide range of applied research and development projects involving sensors, lasers, and electro-optical technology. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military
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selected preventive and corrective maintenance duties as directed; for monitoring and operating building automation system hardware, software, sensors, and components. The incumbent will be responsible
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selected preventive and corrective maintenance duties as directed; for monitoring and operating building automation system hardware, software, sensors, and components. The incumbent will be responsible
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, virtual assistants, or AI-driven systems such as chatbots, recommender algorithms, or generative AI. The position focuses on how communicative processes are shaped by and shape these technologies
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experience of application of artificial intelligence including machine learning and deep learning algorithms. Documented programming skills in Python, R, or MATLAB. Very good knowledge of English, spoken and
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apps and software algorithms would be desirable, as would an understanding of major depression and its pharmacological treatments. Diversity Committed to equality and valuing diversity Our active
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-processing (noise-reduction, calibration) and analyzing sensor data; You work towards combining sensor fusion and inversion algorithms to interpret 3D subsurface variations; You participate in (international