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with epilepsy across multiple NHS hospitals. They are expected to have some experience working with NLP in general and LLMs in particular. They will also help to further develop machine learning models
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generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have some experience
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creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern
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challenges. It fosters collaborations and develops advanced computational tools through a hub for multi-omics and systems biology. Project description The PhD project aims to explore how multiple layers
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opportunities for our trainees and researchers to freely explore creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view
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with the possibility of competence enhancement and development Opportunities for training within the working hours The Research Fellow position is compensated according to position code 1017 Research
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Organization U.S. Department of Defense (DOD) Reference Code EACE-2025-0005 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The Extremity Trauma
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Organization U.S. Department of Defense (DOD) Reference Code EACE-2025-0004 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The Extremity Trauma
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Proficiency – Strong skills in machine learning, federated learning, and biometric systems, with practical coding proficiency in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow). Problem Solving
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groundbreaking initiative to target cell surface proteins, which constitute nearly one-third of all coded proteins and are pivotal drug targets. While existing technologies, such as bifunctional degraders, have