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to announce the expansion of our presence in the Middle East with the opening of a new office in Riyadh, Saudi Arabia. This exciting development will enhance our engagement in Saudi Arabia and support the
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writing is expanding at RHUL. Joining the CW team at an exciting phase of ongoing development, this key appointment will teach both MA and UG level students. The primary focus of the job is poetry
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University of London Department of Development and Alumni Engagement (DDAE) works to develop mutually beneficial relationships with Queen Mary’s alumni and seeks philanthropic support from those alumni and
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the departments’ and organisation’s strategic goals. The Business Systems Manager will collaborate with various departments and cross-functional teams to develop and manage strategies for the further development
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the cardiothoracic team duties will include: Collection of data from owner and vet email enquiries for weekly case discussion meetings Circulating and scrub nurse roles, including developing the technical expertise
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the Middle East with the opening of a new office in Riyadh, Saudi Arabia. This exciting development will enhance our engagement in Saudi Arabia and support the country's Vision 2030 objectives, around Human
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for the seamless running of the 24/7 service for the continuity of administration for the accounts and reception teams. This role offers an excellent opportunity to use and develop your skills in all
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leaders in One Health veterinary research. We plan to deliver a range of mentoring opportunities with evaluation of outcomes through collection of data on uptake, outputs and feedback. You will have
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Term / Part Time Closing Date: 23.59 hours BST on Sunday 17 August 2025 Reference: CSS-0203-25 We have an exciting opportunity for an RVN keen to develop their nursing career in caring for patients
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administration and advising on long-term funding strategies. You will have managed a team, such as staff development, talent and performance management and managed budgets, including projections and financial data