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. Grounded in the dyamic and collaborative Matter Research Community in the department of Physics, this project will expand and deepen the suite of microstate and magnonic control techniques in artificial spin
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by UKRI. The role of the Researcher will be to investigate the dimensional accuracy of stamped components, test the feasibility of scaling up the process to larger dimensions, establish a modelling
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developing a digital twin based on the in-service and continuous data gathered by multiple sensors (strain, temperature, pressure), combined with physical based models and advanced data-driven methods
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previous work in multidisciplinary and multi-stakeholder environments Understanding of the research process Willingness to work flexibly to achieve project demands Ability to organise and prioritise own work
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aerospace engineering, mathematics, physics, computing, mathematics. *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant For both levels Expertise in high
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data sets we already hold and the clinical evaluation. The research software engineer 4. will be developing the NHS IT interfacing that pulls live data and historical data to process it in our secure
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the appropriate level, will be required for the successful candidate. Further information about the DBS disclosure process can be found at: http://www.homeoffice.gov.uk/agencies-public-bodies/dbs/ or by telephoning
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-driven solutions to evaluate and improve the process of identifying, supporting, and scaling climate innovations within the UK academic sector. This research fellow will work closely with the other members
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contact Professor Robert Shorten, Head of the Dyson School of Design Engineering, Email: [email protected]. For further information and advice on the application process contact Maria Monteiro, Senior
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application as early as possible. For informal queries candidates are welcome to contact Professor Alessio Lomuscio [email protected] For queries regarding the application process contact Jamie Perrins