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the full employee and candidate lifecycle. Working within our busy HRSC, you'll manage a wide range of HR processes - from interview coordination and issuing offer paperwork to right to work checks, pre
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relating to AI and large language models, is desirable Application requirements: The following are essential requirements: Breadth of technical knowledge in relation to the use of technology and data
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Research in the department is distributed across five main themes: Machine Intelligence Data Science Smart Infrastructure & Cyber Security Human‐Centred Computing Computational Modelling The University is
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Data Lake, Synapse Analytics, Azure SQL, and Azure Data Factory (ADF). A strong understanding of modern data architecture, including data modelling, ETL/ELT processes, and supporting advanced analytics
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right‑to‑work checks and ensuring accurate data collection for HR/payroll processes. Build Relationships and Improve the Service, proactively developing strong relationships with key hiring departments
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team in the Assessment Management department. This role would be an excellent fit for those with passion for, and experience in, customer service. The team provides a first point of contact service
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interest in the role and details of how your knowledge, skills and experience match the essential criteria being sought. Please state in your covering letter if you've applied for both roles. Closing Date
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knowledge, skills and experience match the essential criteria being sought. Please state in your covering letter if you've applied for both roles. Closing Date – Sunday 3 May 2026 Interviews will be held in
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of our culture of continuous improvement and our commitment to delivering an excellent experience for both students and staff. What We're Looking For You'll be a great fit if you have: A degree in
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Technical Facility Manager – Heritage Science Laboratory (5-year fixed term) Manchester Metropolitan University have recently been awarded over £1M to invest in the Centre for Digital Modelling and