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) software by optimising labour and warehouse management functionalities within the product architecture. Employed and supported by an academic team from the University, you will be based at Business Computer
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GPU acceleration, cloud computing, and distributed architectures, to enable efficient analysis of large-scale video datasets. Collaborate with clinical and academic collaborators, external partners
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. This cross-disciplinary centre will bring together academic expertise, technical specialists, and advanced computing capabilities to enable research at scale – from the processing of large, complex data sets
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Computer Science, Data Science, Computer/Information Management, Management Information Systems (MIS), Business Information Systems or a related subject. Skills: Strong understanding of data protection, security
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Data Lake, Synapse Analytics, Azure SQL, and Azure Data Factory (ADF). A strong understanding of modern data architecture, including data modelling, ETL/ELT processes, and supporting advanced analytics