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PhD project. In addition to electromagnetic geophysics, the candidate is expected to contribute to the development of novel workflows for joint inversion of multiple data types (e.g., borehole acoustic
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experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high
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dialogue on AI governance. Manage multiple projects simultaneously, ensuring timelines are met and resources are effectively allocated. Collaboration & Knowledge Exchange Collaborate with policymakers
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of accession in the position. About the PhD-project A rapid evaluation of cell and tissue samples is essential for diagnosing and commencing treatment in patients with suspected leukemia, multiple myeloma
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Electronic Health Records from people with epilepsy across multiple NHS hospitals in England and Wales. They are expected to have some experience working with NLP in general and LLMs in particular. Familiarity
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with the highest probability of success for treating diseases, specifically focusing on identifying disease mechanisms supported by multiple, independent genetic variants. The postdoc will develop and
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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modelling physics of water flow map data will be considered an advantage when candidates are ranked. Experience with scientific programming using Python, MATLAB, C++, Julia, or similar is a requirement
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Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS
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, aggregating them across multiple, pluralistic values if necessary, and fine-tuning models to satisfy those preferences. In the Normativity Lab we believe these approaches are likely to prove too limited