130 parallel-computing-numerical-methods Postdoctoral positions at University of Oxford in United Kingdom
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About the role We are seeking a full-time Postdoctoral Researcher to join the Oxford Secure and Advanced Computer Architecture Research (OSCAR) group at the Department of Engineering Science
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Computational Neuroscience and related fields as part of the Medical Research Council, UKRI grant “Algebraic topology bridging the gap between single neurons and networks”. They will be expected to conduct
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impact of collective effects on beam stability and associated mitigation methods, commissioning of the injector complex and storage ring injection studies. The successful candidate will actively
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to completion of) a PhD/DPhil in geotechnical engineering, along with experience in numerical methods, including the implementation of soil constitutive models in finite element code. You should have excellent
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broader cosmology group at Oxford, who combine expertise on a wide variety of topics in theoretical, observational, and numerical cosmology and astrophysics. The successful candidate will be required
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Lives with Linear Accelerators) project, which aims to leverage technologies developed for particle physics, computer vision and robotics into a novel end-to-end radiotherapy system as an essential
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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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following areas: qualitative thematic analysis; mixed methods research, ethnographic methodologies. Evidence of research-related computing skills: word processing, NVivo, Reference management software
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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