15 parallel-computing-numerical-methods Postdoctoral positions at University of Liverpool
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distortions in the presence of a shallow crustal hydrothermal system at a model caldera volcano. The model will use the phase field approach and be implemented in Alya, the parallel multi-physics Computation
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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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of benthic and demersal fish. The role is part of a grant led by University of Liverpool, funded by the Human Frontier Science Programme (HFSP), entitled Vibrational sensing and production in fishes
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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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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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Health Translational Research Collaboration and which sits within a ground-breaking new Centre: Civic Health Innovation Labs (CHIL). M-RIC is an ambitious programme of work jointly delivered between
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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
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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