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to help develop the next generation of AI-powered remote sensing technologies for monitoring landscape change and environmental sustainability at scale. About the Role We are seeking an ambitious
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into many novel aspects of developing offshore digital twins, such as sensing, data handling, physics and AI modelling, software development, as well as experiments at the Cranfield Ocean Systems
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candidate will join our Advanced Sensors team and contribute to the 5-year Leverhulme Research Leadership Award project, Sensing Wastewater for Real-Time Public Health. About the Role The postholder’s primary
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and contribute to the 5-year Leverhulme Research Leadership Award project, Sensing Wastewater for Real-Time Public Health. About the Role The postholder’s primary responsibility is to conduct cutting
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Inverse Methods and Ionospheric Modelling Research Fellow - School of Engineering - 106995 - Grade 7
empirical modelling, D-Region ionospheric remote sensing, or ionospheric radio propagation. This 3-year post will provide the candidate with the opportunity to fully engage with the research group, with work