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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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community and international contacts. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Research subject: Animal Science Description: Sleep is a
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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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wavefront sensing approaches (Pair-Wise Probing, Self-Coherent Camera, Zernike Sensor) and CFA detectors. This research work will aim to find the most suitable configurations for simultaneous wavefront error
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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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Molina García Pardo . Keep in mind that supervisors are not allowed to get involved in the project proposal preparation. Context: The advances in sensor and information technologies, coupled with increased
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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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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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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