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processing, storing and visualising sensor data for the acquisition of biophysical indicators for the early detection of forest fire risk situations (air temperature, wind speed and direction, relative air
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analytical tools (including sensors and drones with multispectral cameras). Statistical analysis of experimental data for quantitative and qualitative assessment of soft wheat grain. Crop-environment
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Agencies will be returned. Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie/workatucd/jobs/ Where to apply
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The opportunity The University of Liverpool is a key partner in a £14 million initiative (https://tinyurl.com/yc5z768m) to develop a sustainable, next-generation manufacturing facility, using
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Resource Efficient Pseudo Random Number Generator based on Sawtooth Maps for Internet of Things. Wiley Online: https://doi.org/10.1002/spy2.304 Abu Tair, M., Djahel, S., Perry, P., Scotney, B.W., Zia, U
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rolling basis with start dates as early as 1/1/2026 and as late as 3/1/2026. Group or Departmental Website: https://simpsoba.su.domains/ (link is external) How to Submit Application Materials: Please upload
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sensors, mobile/cloud apps, eye tracking, activity and sleep monitoring). Supports studies involving participants with chronically implanted electrodes or neurostimulation devices, including coordination
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perspective, including (but not limited to): machine learning and statistical learning computer vision and sensor-based data analysis natural language processing and large language models hybrid, interpretable
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-supported, situation-adaptive system to support older people in their everyday lives or geriatric patients during hospital stays. Continuous monitoring using sensors will analyse subjects' behaviour, identify
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, but not be limited to, the following: Install, program, monitor, and maintain Direct Digital Control System components to include sensors, transducers, controllers, and network devices in campus