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, the job involves developing algorithms for embedded systems that are designed to produce sensing and computation on the image plane, and on understanding the best ways to distribute visual computation along
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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
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enable the development and operation of new algorithms and software to solve leading-edge research problems. You will find this work exciting if you: Want to help build and maintain some of the largest
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(SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience
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examinations. Preparing exam rooms and distributing and collecting exam papers. You will be required to support both paper based and computer based examination processes. Adhering to the Universities policies
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Bay. The key responsibilities of this role include; Using a combination of automated algorithms and manual data processing to identify bottlenose dolphin signature whistles in a multi-year acoustic
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messages and update information. Provide administrative support to (academic) staff for car hire, travel arrangements or meeting arrangements. Arrange routine meetings, order catering, collate and distribute
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., LLMs). Familiarity with MLOps practices like model registries and drift monitoring. High-Performance Computing (HPC): Strong command of Slurm or PBS, GPU optimization with ability to scale distributed
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and distributed IT function, including balancing priorities, scheduling, and forward planning of work and resources to meet supply and demand. Ability to explain complex technical issues to both a
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stock taking, sourcing equipment, and demonstrating and distributing AV and media resources such as cameras, audio equipment and projectors. Experience of lighting desks is essential, as is an