20 parallel-processing-bioinformatics positions at Queen's University Belfast in United Kingdom
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pipelines, automate data processes, and enable all-island data federation. This role presents an exceptional opportunity to develop frameworks that enable application of cutting-edge AI/ML methods to complex
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include high-performance computing, middleware and computing systems. Recent relevant research experience to include: Undertaking research in the area of high-performance / distributed / parallel computing
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spectroscopic data analysis. This role forms part of a larger research effort exploring advanced polymer processing techniques and data driven methods to improve material performance and manufacturing efficiency
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manufacturing environment which should include one or more of the following: Operation of automated machinery, such as industrial/collaborative robots, CNC machine tools, automated welding. Developing and
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support the process of shared learning and devolpment across the Centre’s community partners. C4 will find and share the most effective community action strategies, providing invaluable insights for both
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successful candidate will provide assistance to colleagues engaged in the teaching process in the relevant discipline as assigned by the Lead Midwife Education. Established in 1991, Queens School of Nursing
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activities. You will apply your specialist knowledge and experience of methods, processes and process validation to generate innovative research outputs which have a direct economic and technical benefit to
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familiarity with computer packages e.g. Microsoft Office. Our current staff profile in Queen’s Sport shows an under-representation of Protestants and so we particularly welcome applications to this role from
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and development of business cases, systems and processes in the achievement of the Queen’s Sport business plan and for the co-ordination and delivery of marketing communications, customer services
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will have a background in computer/data science, and specifically have computer programming experience, working with programming languages such as Python or R, in order to develop and maintain data