25 parallel-processing-bioinformatics positions at University of Leeds in United Kingdom
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& Cultures which is part of a highly rated Russell Group university? Do you want to be part of a dynamic professional service that partners with different teams, working towards unified processes? As
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to collaborate across the globe, attacking global issues. We are looking for Business Analysts to join us to work on IT projects that underpin critical University systems and processes. As a Business Analyst
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of Medicine and Health and the Faculty of Biological Sciences Financial Accounting team. The team has responsibility for the processing of all (non-research and consultancy) sales invoices and credit notes
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services for customers. This will include coordinating the processes at a national level, across the NIHR and with partner organisations UK wide. You will enable customers to utilise study planning services
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Are you a creative postdoctoral-scientist keen to explore novel in-situ biology with cryogenic electron tomography? Do you have a background in imaging technologies and/or image processing? We
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of timetabling administration and teaching provision in Higher Education? Do you understand and have an interest in corporate database systems and business processes and how they can be deployed to maximum effect
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high quality administrative support to the School’s processes in recruitment, purchasing, HR and health and safety. This role will have a particular focus on providing support for senior staff and
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for the post-award process. Please note that due to Home Office visa requirements, this role is not suitable for first-time Skilled Worker visa applicants. Information on other visa options is available
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organisation and delivery of the above. Your remit will involve taking responsibility for reviewing and developing Network operational processes, strategic resource planning across the Network delivery period
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processes, recognising the mechanisms of how a disease develops. Students also gain perspective on the importance of given diseases, including commonality, biological interest, how it is related to occupation