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optimisation of recruitment strategies in line with core King’s principles. The ideal candidate will have proven experience in market research and data analysis leadership positions, preferably in large and
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technologies, alongside the collection of neurobehavioural data. The trial collects repeated measures across infancy, culminating in a large volume of complex data. We seek an individual with specific skills and
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expected to hold a PhD degree in Computer Science or other relevant discipline. You will bring expertise and a strong academic track record in Natural Language Processing (NLP) and a vision for how Large
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symbiosis of cutting-edge AI combined with human support. The successful candidate will partake in the development of personalised, context-sensitive Large Language Models (LLMs) for health coaching. By
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combined with human support. About the role The post of Research Scientist on the EMBRACE study led by Professor Josip Car primarily focuses on developing personalised Large Language Model (LLMs) for health
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, improving market penetration, increasing event participation and outcomes, raising conversion rates, monitoring stakeholder feedback, and working with others to ensure CRM data quality. The successful
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access to data, AI assets, technologies, and capabilities. PharosAI unites large-scale multimodal cancer datasets with AI models through a highly-secure, trusted, federated platform, offering state
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to parametrize and verify the Kernel Polynomial method to calculate electron-phonon coupling in large nanoparticles, which will be developed by another postdoc working on the project based at Imperial College
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Research Associate will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records
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experience: Essential criteria Excellent communication and presentation skills; demonstrable ability to present information clearly, accurately and concisely to diverse audiences Able to manage large datasets