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work, to an agreed level, in compliance with industry standards, statutory requirements, and relevant codes of practice in a professional and customer-focussed manner. The Estates and Facilities
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evidence of expertise and completed research outputs Understanding of AI and, especially, deep learning techniques, with a demonstrable understanding of LLMs Proven ability to write code in Python Experience
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standards and codes of practice, including the Concordat to Support Research Integrity. Experience of working in a similar role in an academic environment or within the Higher Education sector is required, as
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the investigation and resolution of financial queries, ensuring that all financial data is complete, accurate, and recorded in accordance with agreed coding structures and financial controls. You need
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of the group, the postholder will also be responsible for the integration and optimisation of this code into a clinician-facing annotation and surgical planning software package, which include work in user
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Finance team. In addition, the role holder will also contribute to finance tasks such as updating the finance system, coding expenses claims and amending payroll coding. You will have previous research
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and codes of practice pertaining to the conduct of clinical trials Able to learn and work to SOPs Strong planning and organisational skills including the ability to prioritise, manage multiple tasks and
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, including the production of monthly and quarterly management accounting information. You will also support the Costing and Research Accountants with creating and maintaining research projects codes and
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either centrally or based at a Faculty Working knowledge of the UK National Qualification Framework and QAA Quality Code Personal experience studying/living abroad Track record of developing networks
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April 2026 (5pm GMT) Outcomes notified: Mid-May 2026 Applicants must apply both for the studentship and for the CMCI PhD programme at King’s College London, quoting the funding code 2627AHCDA. Funding