14 processor-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Sheffield
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and illegal logging detection. Working at the intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and
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hardware, operating systems (Windows and macOS), and standard software applications Essential Application/Interview Experience troubleshooting and resolving common technical issues with hardware, software
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times. Provide customer facing support for University computer accounts and ID Cards (uCards), assisting visitors, staff and students with service requests. Produce accurate and concise written processes
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inspection data and assign follow-up work across University-owned, partnership and family accommodation. Take responsibility for logging maintenance requests within the Computer Aided Facilities Management
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computer programming, and ideally experience of hydrodynamic and water quality modelling, seasonal weather forecasting system assimilation, and optimization under uncertainty. Working between Anglian Water
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applicants whose work has bridged from adjacent backgrounds — computer architecture, embedded systems, FPGA-based research, accelerator or hardware-software co-design, low-power or sensor or quantum-hardware
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responding to insurance and travel related queries. Case handle travel, motor, computer and boat claims. Providing claims process information, gathering and disseminating information from those involved and
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on the Finance department can be found at the following web link: http://www.sheffield.ac.uk/finance Main duties and responsibilities Act as a recognised source of financial support and advice to Principal
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the writing of scientific computer programs and scripts Essential Application/Interview Ability to initiate, plan, organise, implement and deliver programmes of work to tight deadlines. Essential Application
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and maintain high-quality research software for simulation, computer vision-based algorithms (with optical videos, Lidar and other data), testing and deployment on robotic platforms, using reproducible