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He (KCL computer science) and her NLP group. The post is central to the NAVIGATE research programme, which investigates how different modes of AI uncertainty expression affect the quality of human
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particular interests in biomedical NLP and medical LLMs, multimodal and foundation models, ophthalmology and medical imaging AI, and real-world applications in biomedicine and healthcare. Please visit https
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/ Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics Duties will include
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/ Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics Duties will include
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discovery, drug response prediction, therapeutic target identification, and precision therapeutics • Developing predictive models, knowledge graphs, NLP/LLM applications, and AI-enabled analytic
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• Building computational pipelines for drug discovery, drug response prediction, therapeutic target identification, and precision therapeutics • Developing predictive models, knowledge graphs, NLP/LLM
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services, please click here . Duties & Responsibilities In this role, you will: Lead the design, implementation, and evaluation of AI/NLP systems for scientific feasibility assessment; develop and
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and accountable NLP. We are interested in core methodology research on interpretability, explainability and bias detection; as well as applications to tasks such as fact checking and cross-cultural
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Workbench, and building an AI chat interface for SOZO users. This work intersects with the Nunez Lab's expertise in clinical NLP, generative AI, and retrieval-augmented generation applied to healthcare and
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OPP text and AI feedback contribute to open-source implementations of reusable OPP-specific LLM components and evaluation tools publish results in peer-reviewed AI, NLP, Human-AI Interaction and/or