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Science, focusing on high-performance deep learning for neural implicit reconstruction of ultrasound data. The goal is to advance the scalability and efficiency of neural radiance fields (NeRFs) and related
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-class staff have reliable, high-quality IT systems to perform their work effectively. Location: 13 Banbury Road, Oxford Salary: £35,681 - £41,636 per annum (if part time, pro rata) Contract: Full Time
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to the Head of Business Administration, you will oversee a team of HR professionals delivering a responsive, high-quality HR service across performance, employee relations, recruitment and staff wellbeing. You
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Services Department as Team Lead (Endpoint Device Management Services), working hybrid. IT Services is a key department that ensures that the University has robust, reliable and high-performing IT facilities
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, or high performance computing would be desirable, as would any experience designing or delivering training courses. This post is offered as an open-ended position subject to external funding. It is full
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administrative team, you will play an essential role in delivering high-quality support to ensure the smooth running of the Master’s courses. You will work collaboratively with the Manager, Education Assistant
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. Excellent communication and interpersonal skills are essential, along with a structured and analytical mindset, attention to detail, and a commitment to maintaining secure, high-performing systems. What We
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. This position is part of the expanding OCTRU programming team, that ensures trial programming provision enables and proactively supports excellent research with high quality fully validated systems. On receipt
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work closely with IT teams, researchers, and collaborators across the University, including the MPLS and Medical Science Divisions, to support high-performance computing (HPC) needs and to develop future
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. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently