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vulnerable and mobility impaired individuals, and case study analyses. Proposals that use digital technologies in data capture are welcomed, for example GPS (location data) and other sensors that measure
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International Review of Cell and Molecular Biology (Elsevier, 2018; https://linkinghub.elsevier.com/retrieve/pii/S1937644817300825)vol. 335, pp. 41–84. The molecular basis of cell self-renewal and pluripotency in
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both fixed and mobile sensors, the candidate will design methods to improve turbulence models, reduce uncertainties, and deliver reliable real-time forecasts. The ambition is clear: support better
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for wastewater, especially on the single-cell and single molecule detection, utilising state-of-the-art facilities in the Advanced Sensors Laboratory at Cranfield University. Cranfield University has a proud
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of this position is to exploit Rydberg-atom quantum sensors to probe the near field of THz metamaterials and to image electromagnetic fields in the vicinity of subwavelength resonators. As a first step toward this
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The postholder’s primary responsibility is to conduct cutting-edge research on a new class of biochemical sensor development for wastewater, especially on the single-cell and single molecule detection, utilising
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aerial vehicle (UAV) technology make them a promising solution to densify ELA monitoring. However, expanding the density of meteorological sensors in the ELA to bridge the spatiotemporal meteorological
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materials, self-healing technologies, or sensor-integrated cementitious systems is a strong plus. Strong laboratory skills, data analysis capabilities, and a collaborative mindset. Preferred Skills
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Specification: https://www.jobapscloud.com/CT/specs/classspecdisplay.asp?ClassNumber=0782TC&R1=&R3= INTRODUCTION UConn’s Facilities Operations Department has one job opening for Electronic Integrated Control
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. These methods will integrate machine learning techniques and real-time sensor data, to enhance operational efficiency, reduce costs, and ensure desired service levels, such as meeting a high percentage of demand