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to significant losses during processing, transport, retail and storage stages. In parallel, advances in sensor, information and communication technologies, together with increased computational capabilities, have
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using remote sensors and precision agriculture in case study regional data set study. • Co-write a draft of the Extension case study bulletin to share information on the establishment of gathering
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was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk
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portable dataloggers (or analogous geophysical sensors) and continuous monitoring workflows. Background in UAS/drone mapping. Numerical modeling skills. Familiarity with coastal water-level/wave datasets and
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by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a leading role in developing and implementing predictive algorithms designed
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research lies in the development, integration, and use of mobile and autonomous sensors for monitoring environmental changes in agricultural landscapes. The sensor systems are intended to provide data
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, and include, for example, semiconductor materials, thermoelectric materials, piezoelectric materials, luminescent materials, and sensor materials. In particular, post-silicon materials such as wide-gap
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, Geography Experience in the use of environmental sensors Remote sensing expertise Experience in field data collection and/or laboratory analysis Experience in the deployment of unmanned aerial vehicles A
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 16 hours ago
high frequency sensor data. The candidate will also need data management and statistical skills, ideally in the R platform. We offer a competitive salary, medical coverage, and opportunities
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on a Conventional Imaging System for In Vitro Characterization of Contrast Agents. Sensors 22, 6543. https://doi.org/10.3390/s22176543 Nicolas-Boluda, A., Yang, Z., Guilbert, T., Fouassier, L., Carn, F