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responsible for designing, building, and utilizing single-walled carbon nanotube field effect transistor (SWNT FET) sensors to probe biological phenomena at the single-molecule level. See Turvey et al. (2022
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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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Join us for an exciting doctoral journey to create the future of chemical sensors! Imagine you could detect diseases right-away simply by measuring your breath. We are working at the interface
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processes, targeting annual savings of £280,000. Responsibilities include creating and refining models to predict particle behaviour, calibrating them to 95% accuracy, and establishing sensor systems for real
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dielectric films deposited on graphene using a non-contact microwave technique ( https://dx.doi.org/10.1021/acs.jpcb.9b11622) and monolayer graphene ( https://dx.doi.org/10.1021/acs.jpcb.9b11622 ) as a
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of £280,000. Responsibilities include creating and refining models to predict particle behaviour, calibrating them to 95% accuracy, and establishing sensor systems for real-time data acquisition. You will
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will lead the natural language processing and language modelling aspects of the project, focusing on how sensor-derived motion data (from radar) can be transformed into linguistically meaningful BSL
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to the presence of pathogen associated molecules to functionally specialised units that either detect the pathogen (sensor NLRs) or execute the immune response (helper NLRs). Some sensor and helper NLRs work as
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seconds), 2) very compact, allowing a SBEC magnetometer to search for short-range monopole-dipole forces that are out of reach of other sensor technologies and 3) very clean, well-understood systems
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out-couplers to interface with external light sources. This architecture will serve as a platform for developing both optical sensors and optical signal processors, leveraging existing integrated