44 parallel-computing-numerical-methods-"Simons-Foundation" uni jobs at University of Liverpool
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Are you eager to make a meaningful impact on paediatric patient lives while honing your data science expertise? Join our vibrant, cross-disciplinary team as a Computational Biology Data Scientist
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regional workshops and events, data collation and analysis support and output development. Appropriate training and guidance will be provided for analytical methods and handling data types as needed. This is
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The focus of the Service Desk Support Analyst role is to provide proactive technical support to customers using a range of contact methods including telephone, email, personal callers and online
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qualitative and quantitative methods. Non-salary benefits include: - 30 days holiday, plus 6 university closure days and bank holidays - attractive pension scheme - hybrid working model - staff discount and
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The DataSHIELD research project ( https://datashield.org ) develops infrastructure, privacy-preserving methods and governance processes for federated access and analysis of sensitive healthcare data
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between Carpenters Group and the School of Computer Science and Informatics. Carpenters are a market leading insurance legal services provider. Working within Carpenters, and a team from the School, you
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projects in either methods research or by collaborating with University colleagues, NHS partners and industry on applied projects. You will have at least a Master¿s degree in health economics, operational
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to contribute to other projects lead by LRiG and HDS colleagues either through methods research or by collaborating with University colleagues, NHS partners and industry on applied projects. You will have at
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structures that leave many people and places out of the Low Carbon Living agenda. The Centre is accelerating research-informed action that engages, enables and empowers marginalised people, to develop methods
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expected to develop an internationally competitive programme of research in the broad area of maternal and perinatal health. They will be expected to collaborate with the wider research team in