136 parallel-computing-numerical-methods-"https:" Postdoctoral positions at University of Oxford
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will contribute to an exciting, interdisciplinary programme developing next-generation human in vitro models of pain. The project aims to recreate the complex multicellular interactions that underlie
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geothermal processes along the volcanic arc, inform future field deployments, and serve as benchmarks for the development of new deep learning methods for volcanic seismicity. This project will apply deep
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. The research will involve both analytical work and numerical computations. The balance between analytical and numerical type work is flexible and can depend on the preferences and skills of the successful
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partial drainage effects. You will contribute to the numerical modelling part of the project, which will benefit from novel element level and centrifuge testing experimental results. You will set up and
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. The study will involve computational modelling of dynamic aperture and coherent instabilities based on single- and multi-particle tracking simulations, as well as designing and conducting experiments
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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. You will have specialist knowledge in inductive and deductive qualitative research methods (including e.g. Framework Analysis). Experience/knowledge of child anxiety presentation, measures and
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unique opportunity to work at the forefront of therapeutic genomics, leveraging large-scale functional genomic datasets and cutting-edge computational resources, including university HPC clusters and AWS
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cell signalling pathways and demonstrate experience in integrating computational and experimental approaches to address key biological questions. Experience in supervising junior researchers and