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on-premise Microsoft SQL Server and Cloud/SAAS based systems which are central to the operation of the University. Leveraging this data to inform strategic decision making is critical to efficient operation
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software stack from containerised backend systems of services running in kubernetes and cloud services, to adaptive front end XUI systems including state of the art AR and VR systems. You’ll be welcomed
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methods. SQL and NoSQL databases. Big data technologies (e.g. Apache Spark or similar). Cloud-based data platforms (e.g. AWS, Azure, GCP). Building and deploying data analytics or machine learning solutions
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computing, edge computing, distributed computing or cloud computing. Experience in real‑time applications and in developing research demonstrators is essential. You will be an effective communicator, able
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to undertake computing work at the cutting edge of Data Science. The post holder will be able to apply their skillset to advanced projects such as Cloud computing and enterprise architecture as well as work in a
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Computational Astrochemistry/Formation of Complex Organic Molecules in the ISM School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application Deadline
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, design, delivery and ongoing operation of Liverpool John Moores University’s enterprise data network across on-premises data centres and cloud environments. The role leads a team of specialist engineers
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, design, delivery and ongoing operation of Liverpool John Moores University’s enterprise data network across on-premises data centres and cloud environments. The role leads a team of specialist engineers
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Computational modelling of chemical interactions in soil School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Natalia Martsinovich Application Deadline: Applications
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Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs in a wide