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assistant on this project, your role will primarily be configuring and running a numerical models (the CAESAR-Lisflood morphodynamic model) to simulate and understand the passage of sediment waves or slugs
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, combined with a predictive operational insights model to gain superior operational performance. Employed and supported by an academic team from the University, you will be based at ELE Advanced Technologies
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classify to emotion (happy, sad, calm or angry) aiming for a success rate of approximately 80% or above. In addition, you will make the model able to analyse language and classify to the same emotions based
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researchers in an iterative development cycle. You will use your programming skills and Unity experience to integrate AI models that detect and tag emotional meaning from audio and map these to steer real-time
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related discipline Strong programming skills (e.g. Python, JavaScript or C++) Experience working with Generative AI technologies Experience deploying and integrating AI models across different platforms
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length of service), plus bank holidays and Christmas closure Flexible working: Hybrid model – three days on campus, two days from home Career growth: Opportunities for professional development and
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to the training and deployment of cutting-edge AI models. To support this exciting new centre and to be part of a dedicated team, we are seeking a highly experienced and skilled Senior Data Engineer to play a
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the full employee and candidate lifecycle. Working within our busy HRSC, you'll manage a wide range of HR processes - from interview coordination and issuing offer paperwork to right to work checks, pre
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relating to AI and large language models, is desirable Application requirements: The following are essential requirements: Breadth of technical knowledge in relation to the use of technology and data
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Research in the department is distributed across five main themes: Machine Intelligence Data Science Smart Infrastructure & Cyber Security Human‐Centred Computing Computational Modelling The University is