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modelling and data analytics, and help shape policy that improves lives. As a Research Fellow, you will: Conduct applied research in health economics, particularly focused on economic evaluation, cost
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be placed on Representation Learning techniques, Transformer-based architectures, Large Language Models (LLMs), Natural Language Processing (NLP), etc. The research will also explore distributed data
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include modeling of bulk and single-cell transcriptomic profiles, integrative multi-omics analysis, and the fusion of molecular data with clinical and imaging features. Organizational Status The successful
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: • Identifying use cases and modelling functional and non-functional requirements. • Defining the logical and physical architecture (frontend, backend, databases, AI services). • Full-stack implementation (modern
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: • Backend based on REST/GraphQL APIs that expose cork stopper catalogue functionalities, creation and management of final products, and consultation of machine learning model records; • Angular frontend
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of large language models (LLMs), risks and threats that affect their security in the context in question, protection/control mechanisms appropriate to the main risks, and appropriate evaluation methodologies
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, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded methodology project
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partial way, to the progress and installation, in the Port of Sines of a reduced model of a wave energy converter, namely: - Development and installation of a small-scale physical model of the REEFS wave
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team to lead the wave and hydrodynamic modelling to study the impact of mangroves and seagrass on coastal dynamics and sediment transportation. As a specialist in wave modelling software, the successful
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team to lead the wave and hydrodynamic modelling to study the impact of mangroves and seagrass on coastal dynamics and sediment transportation. As a specialist in wave modelling software, the successful