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critical for predicting future changes to fisheries production and deep ocean carbon storage as the ocean warms. Biogeochemical-ecosystem models are currently used for this purpose but have difficulties: in
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to advanced technologies, including pre-clinical tumour models and patient-derived samples, and will contribute directly to research with clear clinical relevance and impact. Key Responsibilities - Lead
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as possible thereafter. The Role Drawing on over a decade of formulation data, you will develop machine learning models that link chemical composition and processing parameters to the physical and
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Applications are invited for a post-doctoral research associate (PDRA) position within the Mechanical and Geological Model Analogues (MAGMA) Laboratory in the Department of Earth, Ocean and
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Model Development Plan for future in-orbit demonstration. Further information about the Department of Electrical Engineering and Electronics can be found here: The post is part-time at 14 hours per week
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. You will coordinate with another postdoctoral research associate, focused on computational modelling, and publish your research findings to achieve project goals. You will contribute to knowledge
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will be building and validating numerical models describing the interaction between an optical plasma, generated by a high intensity laser, and the solution where the breakdown occurs. This involves
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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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volcanic sequences and reconstruct a model of its volcanic plumbing system architecture. You will collect mineral texture and composition data using a range of geochemical methods including SEM, EPMA and LA
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knowledge. The project team will create a four-part database, cataloguing and classifying evidence for the use and knowledge of Greek in the late antique West. The four parts of the database correspond