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are pushed, collaborations are key, and artistic pioneers are made. We are a world-leading home for students from non-traditional backgrounds with a programme of activity that reaches out to all sections
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will recruit 18 Doctoral Candidates working within a highly interdisciplinary and international research programme, supported by structured scientific and professional training, Challenge-Based Learning
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clinical impact. The network will recruit 18 Doctoral Candidates who will work within a strongly interdisciplinary and international programme, supported by structured scientific and professional training
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opportunity for candidates to pursue an independent research programme in quantitative finance, and in particular data science applied to quantitative finance. Postholders will be concurrently elected
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(SNES), Newcastle University. This position is funded by Innovate UK as part of the Sustainable Medicines Manufacturing Innovation Programme (SMMIP), in collaboration with AstraZeneca and Indicatrix
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of the EDI Hub+, coordinating multiple stakeholders across universities, research institutes, industry, and professional bodies. This is a unique opportunity to contribute to an ambitious programme that seeks
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students and 3000 research staff. The post holder will be responsible for the management and delivery of the Division’s training programme, and play a key role in developing strategy and policy in this area
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require additional academic and pastoral support in preparation for their future studies. The ideal candidate will: Deliver engaging teaching and assessment primarily on the Foundation Programme, including
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development journey. About the Role The Careers Service delivers a comprehensive programme of faculty‑based and central support, activities and opportunities to equip students with the skills, confidence and
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well as working on our busy Issue & Enquiry Desk. An extensive staff development programme is detailed elsewhere and monitoring and feedback from that programme takes place. For a full role profile, please refer to