211 computational-physics "https:" "https:" "https:" "https:" "INRAE" positions at University of Manchester
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We are excited to offer this opportunity for a Translational Research Programme Manager to lead on the operational delivery of the RISE (Reducing Immune Stress from Excess cytokine release in
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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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Type of award Studentship Value Fully Funded Studentships Specified use Please refer to the criteria on the BUDI website . Tenable period Ongoing Continuation of award Continuation of the award is subject to satisfactory progress. Number available This year, there are 50 studentships...
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The University of Manchester The University is a global institution known for innovation and world firsts, with 25 Nobel Prize winners. The computer revolution started here in 1948 when a machine
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This research assistant post provides an exciting chance to support a Behavioural Research UK funded programme of research that aims to investigate how PPIE is currently used in the development and
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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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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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customers. You will play a key role in providing support and advice on the end-end recruitment process. This will include ensuring that all University adverts and recruitment documents are accurate and
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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