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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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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
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to travel to other locations on occasion, be prepared to attend events in the evening/at weekends. As part of King’s hybrid working policy, all team members can work remotely for part of the week if they wish
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sections of the community. You will be based in Hythe Bridge Street but you may be able to agree a pattern of regular remote working with your line manager. About You The successful candidate will have in
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), you'll be working on rapid information extraction for environmental remote sensing on board spacecraft. Your work will involve applying lightweight Convolutional Neural Network (CNN) models to multi
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that imbues our students with a sense of purpose and the competencies to shape their own lives and positively contribute to the lives of others. The successful candidate must have, and your application
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them into expected outcomes Excellent communications skills, both written and verbal, and an ability to establish and maintain relationships remotely and communicate effectively with people from a wide
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skilled and motivated individual to join our IT Support Services. With a can-do attitude, you’ll play a vital role in supporting users both remotely and desk-side, with most of your work being escalated