56 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Surrey
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level, with sub-metre precision? This PhD will develop next-generation foundation-model-driven urban perception systems that fuse: high-resolution satellite imagery, aerial data, street-level imagery (e.g
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for someone who is passionate about teaching and seeking an opportunity to work closely with the next generations of paramedic whilst supporting wider healthcare workforce development. You will have a
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to ensure data platform capabilities support the Digital 2030 Plan. Review and guide integration designs to ensure they align with best practice Mentor and guide developers and analysts, helping build shared
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, junior programmes and adult courses to prospective, new and current members of Surrey Sports Park (SSP) with a main focus on student sales and promotions. The role Surrey Sports Park is at the heart
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This studentship is fully-funded by an EPSRC Industrial Doctoral Landscape Award in partnership with AWE plc. The successful applicant will be welcomed into our world-leading research programme
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applications we also need to know the cross sections at different temperatures and, thus, we need to properly account for the thermal motion of the target nuclei. Due to these issues, we need to develop a
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for someone who is passionate about teaching and seeking an opportunity to work closely with the next generations of paramedic whilst supporting wider healthcare workforce development. You will have a
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Transfer Partnership (KTP) Project. This pioneering project will develop an AI-powered nocturnal behaviour observation system, transforming how animal welfare is monitored and understood. By uncovering night
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to implement for the entire network. To address these challenges, the project aims to develop a novel, population-based indirect damage identification system, leveraging data collected on instrumented railway
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cryoprotective agents (CPAs). Overcoming these challenges is a major unmet need in biomedicine. This interdisciplinary PhD project aims to develop AI-driven approaches to discover safer and more effective CPAs by