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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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will have substantial experience in practical research as well as statistical epidemiology, handling large (e.g. proteomics) and complex longitudinal datasets in a cloud-based platform. Excellent written
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commitment and is the largest single investment in AHRC’s history. Opening at Pinewood Studios in 2026, CSNL will include state-of-the-art studio and stage facilities, advanced creative computing, AI, cloud
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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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, 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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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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BBSRC Yorkshire Bioscience DLA Programme: Integrated purification, formulation, and delivery of next-generation mRNA, circRNA, saRNA medicines School of Chemical, Materials and Biological
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to make a meaningful impact? Mathematics & Computer Science - Postdoc Fellows E-STEEM Call 2026 174 Research Services and Career Development Startdate: 01.10.2026 | Working hours: 40 | Collective bargaining
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BBSRC Yorkshire Bioscience DLA Programme: Engineering Stomata: How Shape Informs Function School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof Andrew Fleming, Prof