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processes underpinning business operations. This is currently offered as a hybrid role, and the role holder will be eligible to spend part of their working week on campus and part of the week working remotely
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knowledge of these areas of research is essential, and a strong background in remote monitoring in epilepsy is expected. It is essential the role holder has completed training in neurology and is working
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our collections, services, and facilities in person or remotely, this includes university staff, researchers from around the globe, students in higher education from Durham and other universities
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research data. Our users encompass anyone engaging with our collections, services, and facilities in person or remotely, this includes university staff, researchers from around the globe, students in higher
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teaming in complex scenarios. About the Role Our reputation for leading in the field of AI and autonomous systems: human-centred AI, human-machine-interaction, advanced sensing, communications, machine
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available from 01/04/2024 to 31/03/2025. The successful applicant will combine remotely sensed datasets with machine learning to map peat extents, habitats, habitat condition and change. The post will include
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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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to play a leading role in the modelling work – which can include the use of process-based and/or deep learning models, as well as a combination of both. The project also has additional remote sensing and
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working remotely. This is a full-time post (35 hours per week) offered on an indefinite contract. About You To be successful in this role, we are looking for candidates to have the following skills and
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devices, including troubleshooting SSO and MFA issues. - Handling activation code requests and resolving IT issues both in person and remotely. - Investigating telephone and wireless