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Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing DevOps Data
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computing capabilities to enable research at scale - from the processing of large, complex data sets to the training and deployment of cutting-edge AI models. To support this exciting new centre, we are
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. D2 Software deployment such as via containers, cloud setups, and high performance computing as appropriate. D3 Experience with Unreal Engine, particularly in the context of interactive or immersive
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is a willingness to work collaboratively with the wider team. If you like the idea of working as part of an interdisciplinary team that is helping bring cloud computing to the world of genetics-based
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an interdisciplinary team that is helping bring cloud computing to the world of genetics-based clinical microbiology we’d love to hear from you. Applications from candidates who do not fulfil the essential criteria will
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at the edge, rather than the cloud, which will require innovation in compute efficiency and scalability. The role will also focus on IoT data engineering, analysis and management, improve data quality through
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have a strong knowledge of core computing topics. We are specifically seeking expertise in Machine learning Data management Artificial intelligence Data visualisation and analytics Data mining Cloud
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program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. We seek to recruit a Research Software
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, and redevelop our integration as we migrate services to the cloud. Candidates should have an understanding of modern development practices and ideally skills for developing within the Microsoft stack
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institutional-level risks and objectives. We oversee the development, delivery, and support of a number of University-wide technology and systems, including communications, storage, computing, and enterprise