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Field
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detection Development of superconducting cryogenic sensors, including metallic magnetic calorimeters and superconducting nanowires, for detecting muonic X-rays and low-energy electrons with unprecedented
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of different chemical and biological wearable/implantable/point-of-care sensors using these materials for the high precision detection of biomarkers and physiological parameters, such as proteins, DNA, antigen
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or a closely related discipline. Strong practical experience in experimental acoustics/instrumentation (sensor selection, data acquisition, calibration, uncertainty/rigour and noise control). Strong
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sensors for e-nose applications”. Qualifications For the post of Postdoctoral Fellow, applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post
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of the following: sensor modeling; surface reconstruction; InSAR and related high-resolution, rapid revisit optical systems; automated image matching and registration; error propagation; historical
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the way, you will engage in activities and research in several areas. These include, but are not limited to: Learn about improving sensor performance and stability for the long-term measurement
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of maintenance. The project aims to develop an integrated decision-support framework that combines inspection images, sensor data, and engineering interpretation to enable more transparent, evidence-based
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, behavioural science, and digital health technologies. Candidates will have the opportunity to engage with large-scale, high‑resolution datasets derived from wearable devices, sensors, and other digital health
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position within a Research Infrastructure? No Offer Description About the job To lead the technical development, optimisation, validation, and field deployment of a smart optical nitrate sensor platform
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simulations for composites. Sensor integration for real-time monitoring and predictive analytics. AI-driven digital tools for material optimization and certification processes. Collaborative work across