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The Aston School of Computer Science and Digital Technologies is looking for two Lecturer’s in Computer Science with a specific interest in Artificial Intelligence to help reinforce its research and
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options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and
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and person specification. What you will get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional
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including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and national discounts at a range of major
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BBSRC Yorkshire Bioscience DLA Programme: Deciphering the mechanism of apicoplast genome organisation in Plasmodium falciparum (CASE project) School of Biosciences PhD Research Project Competition
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to student wellbeing. The Training & Development Officer will design and deliver a programme of training and development sessions, to ensure staff confidence and consistency in responding to students with a
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no.: 5451 The position We are seeking an outstanding researcher who advances the fundamental understanding of gravity through analytically rigorous, conceptually driven, or high-precision computational
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the option to develop numerical simulations of the spicule processes by means of our market-leading computational tools, would that be a preferred methodology of the student. This project may require
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We are looking for an Academic Manager to join our team. As an Academic Manager at Kaplan International College London, you will use your knowledge of teaching and learning to help us deliver a high-quality academic experience to our diverse, international student body, whilst managing and...
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duties and responsibilities Design and implement a programme of work to gain fundamental understanding of the reactivity and long-term performance of a novel, low-carbon SCM based on proceed EAFS. Prepare