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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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their interlayer interactions. The aim is to determine the structure-properties relationship, with a view to evaluate these materials’ suitability as sensors or as anodes in batteries. Our group’s research is in
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the Mechanics of Composites for Energy and Mobility Lab. (MCEM, https://composites.kaust.edu.sa ). Field of study We are seeking a highly motivated Research Engineer to join our research lab and contribute
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Collaborate with the research group and external partners on cutting-edge atomic and nuclear sensor applications Present research findings at group meetings, conferences, and through scientific publications
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. Their responsibilities will include research activities in the area of manufacturing technologies for sensors and other printed-electronics solutions, including selecting appropriate techniques, defining the process
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, primarily because they are single use and they lack effective monitoring, as they do not integrate sensors. RESSURG’s main research objective is to research weather reversible polymer networks with self
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data analysis (sensor integration, data acquisition, signal processing, and indicators based on vehicle–bridge interaction), as well as structural validation in real-world environments through comparison
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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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looking for a PhD Student (f/m/d) Development of the degradable environmental and bio-sensors, subject to final approval by the project sponsor. Your tasks Development of the project tasks and milestones
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Lyudmila Mihaylova Application Deadline: Applications accepted all year round Details This PhD research is focused on multi-sensor data fusion for decision making. The project aims at dealing with large