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a deep understanding of the needs, wants, desires and motivations of older adults and the people in their lives, helping to translate these insights into engaging, high-quality outputs for client
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learning (“buddying”) Both roles will contribute to a developing cross-disciplinary Deep End research community Developing Skills & Expertise: Develop academic skills around research from design to delivery
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requirements: Candidates must hold, at the time of application, a Bachelor’s degree in Informatics Engineering or related fields. Candidates must also have knowledge in: i. Deep Learning and LLMs: practical
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Intelligence (AI) algorithms, including Machine Learning (ML) and Deep Learning (DL) techniques, for advanced signal analysis. The work will focus on developing methodologies for the detection, extraction
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) validation and extension of models for the prediction of enzyme-substrate interactions; (iv) integration of the previous models into deep learning pipelines for retrobiosynthesis. Applicable legislation and
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and Machine Learning/Deep Learning Applications for Low Amplitude Transient Signal extraction: this project explores the use of AI, ML/DL techniques to explores several sources of signals with
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in processing and analysis of medical images, especially thoracic computed tomography (CT) studies. Knowledge of artificial intelligence, machine learning or deep learning applied to biomedical