45 computational-physics "https:" "https:" "https:" positions at University of Manchester in United Kingdom
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Background The Manchester Quantum Systems (ManQS) Theory Group is based in the Department of Physics and Astronomy at The University of Manchester. The group pursues a broad research programme
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Collections for research, teaching and learning, and public engagement. As a first element of the shortlisting process, we will assess candidate’s applications against the person specification in the job
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microfluidic devices used as proxies for the vaginal microbiome. The project will involve first principles mathematical modelling, analytical and/or numerical solution of simplified PDEs for flow physics and
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and student support to online and asynchronous learning. Act as a link into the wider AI Transformation program for the Library, championing digital learning use cases and ideas for future AI pathfinder
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Reporting to the Executive Director of Planning, you will provide strategic leadership for the planning process and associated activities that translate the strategy into delivery across the university
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that has not previously been described in the scientific literature. The successful candidate will play a leading role in the project’s experimental programme, developing and carrying out laboratory
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The appointee will be an academic who will deliver Physics and Chemistry tutorials and ultimately lectures alongside current staff and provide expert academic advising for a growing cohort of
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This role is part of an ambitious UK/US joint programme, aimed at providing new data to support molten salt reactor deployment through a detailed understanding of the microstructure of nuclear
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limited viable recycling methods currently exist, and which are often incinerated for energy recovery or consigned to landfill. The research program integrates economic, environmental, and societal measures
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-term behaviour, supported as appropriate by computational experiments. Professor Luczak has developed various mathematical techniques for studying the speed of convergence of Markov chains