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/6GIC), is looking to recruit a Research Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving
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mesoscale materials modelling to carry out meso-scale simulations of Li/Na dendrite growth and mechanical stress-strain behaviour of materials in solid-state batteries, and to develop machine learning methods
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collaboration with the industrial partner. About you The post-holder is expected to have a PhD degree (or equivalent) in the area of machine learning, generative AI, acoustic signal processing, cross-modal
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Language Processing (NLP), Computer Vision (CV) and Machine Learning (ML) for the translation between spoken Language and Sign Languages. It will include the application of NMT techniques and Large Language Models