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decision support Analysis of large-scale geospatial, sensor, and remote sensing datasets (e.g., multispectral, hyperspectral, LiDAR) Predictive modeling for crop performance, resource efficiency, and climate
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mobility and vulnerability to falls. The project will combine physiological sensory biomarkers with postural control, gait analysis and real-life mobility measurements obtained using wearable sensors and
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opportunity The Carbon Analyst will be a member of Australian Antarctic Program Partnership (AAPP)’s project 5: Biogeochemistry, and will support at-sea biogeochemical sensor calibration, sample analysis, data
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or hazardous environments where calibration is infeasible, intrinsic thermometer accuracy is crucial. Our Compact Blackbody Radiation Atomic Sensor (CoBRAS) is based on measuring fluorescence ratios of optically
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Soft Smart Sensors/Actuators Where to apply Website https://careers.polito.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: OTHER Eligibility
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scheduling algorithms to ensure operation continuity and reliable information exchange among batteryless sensors. Where to apply Website https://lavoraconnoi.unitn.it/research-assignments/dipartimento-disi
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solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast
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microwave instrumentation techniques. The main objective of the project is to standardize the performance evaluation of this type of sensor, thereby improving its applicability in biomedical research
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experience in Acoustics, Mechanical Engineering, Physics, Signal Processing or a closely related discipline. Strong practical experience in experimental acoustics/instrumentation (sensor selection, data
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.). Machine control system signals and dedicated sensors shall be used for data acquisition. The developed models shall enable the identification of significant deviations between model forecasts and field data