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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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porous solids for the capture and/or degradation of toxic agents (or simulants) and sensors. Main activities Identification of MOFS composition Using existing databases that have already identified
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the Indian River Lagoon Observatory Network of Environmental Sensors (IRLON) through hands‑on training and fieldwork to maintain continuously operating water quality and meteorological instrumentation
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of a sustainable industry. At the same time, complexity is increasing through digital decision support systems, sensors, AI, and augmented reality. The goal is to develop knowledge and concrete design
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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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be adapted to mechanical sensors in the quantum regime for various applications. Your role The experimental work in all these projects involves design of the samples and of the measurement setups
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or replacement, and removes defective equipment. Exposes & scans digital radiographs using digital sensor or phosphor plate. Assists with maintaining established departmental policies and procedures, objectives
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grant that does not confer a degree for a cumulative period of 2 years, consecutive or interpolated; Preferential factors: Experience in Development of and signal conditioning for piezoresistive sensors
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with experimental techniques including current meters, pressure sensors, and GPS surveying. Proficiency in computational methods include large-scale and high resolution hydrodynamic models. Experience
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(AMR). The successful candidate will join our Advanced Sensors team and contribute to the One Health Environmental Sensing project, which focuses on the development of novel sensors to enhance