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Role: Lecturer in Environmental Remote Sensing (0.6FTE) Department: School of Geography & Environmental Sciences Grade: Academic Grade 7/8 pro rata to (£39,369-£56,054) Responsible to: Head of
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signals is one of the most effective short-term strategies to improving our understanding of landslide hazard and mitigating the associated risk. Recent advances in remote sensing, both from greater data
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. 2020; Millar et al. 2007). Recent advancements in remote sensing, exemplified by high-resolution biomass maps such as MapBiomas (Souza et al. 2020), provide unprecedented data on forests over extended
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). Together, these schemes provide unprecedented spatio-temporal data, alongside regularly-updated remote-sensed data associated with the locations and times of observations, including novel metrics (e.g. non
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novel remote sensing-based approaches (e.g. Terrestrial laser scanning). 4. Create understanding of the importance of different species / cultivars (per plant group) for carbon storage and sequestration
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, through digital technologies. Working as part of a team, this post will investigate the development of digital innovation and data fusion approaches to combine in situ measurement with remotely sensed data
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station (HAP). Innovative radio sensing platforms for remote sensing. Radar based target classification for smart mobility and smart agriculture. Electronic defence in emerging telecommunication standards
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integrated with cutting-edge technologies such as EEG, NIRS, motion capture, and eye-tracking equipment. Develop content for the 3D CAVE environment that interfaces with remote sensing technologies. Provide
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opportunities for all on-site and remote apprentices, ensuring any additional learning needs are met Motivate and inspire all apprentices so that they are supported to achieve excellence and are encouraged
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skills, a strong sense of responsibility and ownership to deliver the programme or event to the finish line, the ability to multi-task and to work well as part of a busy team. You will be a self-starter