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specialist facilities at the Virtual Engineering Centre (VEC) in Daresbury and the Digital Innovation Facility (DIF) in Liverpool, our talented team help accelerate business growth through digital technology
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and Research staff. Working within a busy team you will be able to demonstrate your organisational skills and attention to detail. The Research and Finance team provides such a wide range of services
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students - consulting University policies, guidelines and codes of practice - and you will contribute to the delivery of an effective and efficient service to users. Using Microsoft office and University
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to staff at different levels across the University, as well as third parties (including the Information Commissioner¿s Office). You will be educated to degree level (or equivalent qualification or relevant
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business engagement. You will have excellent administration, organisation and communication skills. You will be able to work across teams and have a high degree of flexibility with the ability to prioritise
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will work under the supervision of the LECMC Business Lead and will be involved in updating databases, ensuring the integrity, accuracy, security, and management of data as well as data retrieval
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We are seeking an experienced individual to work as senior finance officer for the LONGEVITY project as part of the Centre for Excellence in Long-Acting Therapeutics (CELT). You will work under the direction of the Professor Andrew Owen and other delegates within the team to provide financial...
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to reduce health inequalities. The postholder will line manage ARC staff within the department but also liaise closely with the line managers of teams in the Universities of Lancaster and Central Lancashire
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Student Experience Administrative Assistant (MBChB Programme ¿ Student Support and Progress) Grade 4
We are looking for a confident and highly organised individual to join our busy Student Experience Team. You will provide support to the following areas within the School of Medicine: NHS Bursaries
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The Rigden lab translates protein bioinformatics methods to applications in structural biology and elsewhere. As part of the CCP4 software consortium, we are looking for a PDRA to develop methods that exploit Deep Learning structure prediction methods for the benefit of structural biologists....