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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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driven research team who are at the forefront of sensor technologies development and feedback process control for quality assurance tools and the next generation of renewable energy development. You will
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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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research program to develop next-generation sensor devices and systems for human-machine interactions. Qualifications PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines. More
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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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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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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 10 days ago
: - Knowledge acquired along the path/academic training in: i) Animal behavior, specifically in tasks related to fear and aversion; ii) Calcium imaging with sensors through fiber photometry and/or miniaturized
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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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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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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