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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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the vibroacoustic complexity of environments, and developing experimental methods to increase accessibility of this area of research to the wider scientific community. You will lead, plan, execute and trouble-shoot
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, particularly by providing expert advice in crystallography in our existing projects and by leading the development of new, automated methods for the discovery and characterisation of crystalline materials using
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techniques and electron diffraction methods \[MR1\] is essential for the role, and candidates should make their relevant experience for materials discovery clear in their application. The post is available
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cutting-edge laboratory automation in a highly collaborative research environment. About you You will have a PhD (or equivalent) in a relevant area or field related to this project (Computer Science
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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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. The PDRA will quantify the differences in calculated and measured experimental conditions by adapting the Geodetic Bayesian Inversion Software ( https://doi.org/10.1029/2018GC007585) ). Working alongside our
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processes and milestones including experience with research design, ethics and governance. Experience working in one or more of the following: clinical trials, experience-sampling methods, health technology
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countries. As a room-temperature electrocatalytic reaction that can be powered using renewable electricity, Li/M-NRR is envisaged as a sustainable, scalable method to decentralise NH3 synthesis, improving
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image cross-correlation, particle image velocimetry, feature/object tracking, orthorectification, image segmentation and/or image analysis techniques that may be novel to glaciology (including AI methods