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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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mechanism using surface on in-volume spatial variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline
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spectroscopy data, benchmarked against classical DNA profiling. For this, we are now looking for a postdoc who will assemble a database of Raman spectra describing different microbial species, both in bulk and
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nanomaterials to novel cellulose-based textiles. Key responsibilities Conduct a comprehensive sustainability background analysis of different material options for optically adaptive textiles including sensors and
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communication and collaborative skills. Experience with SLAM, sensor fusion, LiDAR/depth camera data processing. Familiarity with deep learning for obstacle avoidance (e.g., map-less navigation). Background in
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, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the world. The employment
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make a difference in the world! Position Information We are seeking a Postdoctoral Research Associate for the Texas A&M AgriLife Research and Extension Center at Uvalde . The Postdoctoral Research
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on developing and calibrating new protein sensors of cytosolic metal availability, which underpin the “metalation calculator ”, and expand their applications to different microbes. The work at Durham will
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international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push
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their different sensors for decision making. Humans will be able to seamlessly instruct these robots or directly collaborate with one or a team of robots. The fellow will have the opportunity to advise individuals