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accepted all year round Details The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate
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/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective students can
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might lead to the development of novel anti-cancer therapies. Preliminary data indicate that the degradation of ECM by cathepsin proteases is required for ECM internalisation. The overall aim
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their own funding. For fee status information, see https://sheffield.ac.uk/new-students/tuition-fees/fees-lookup#M An enhanced fee of £4000/annum will be applied to these fees to cover research expenses
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this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk
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flexible working, career breaks and entitlement to paid maternity, paternity and adoption leave. For more details on these and other benefits see http://www.manchester.ac.uk/connect/jobs/benefits-working
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Opportunity Overview Join us at the University of Salford and be part of Team Salford and one of the UK's fastest growing universities! The Head of Student Data & Systems is a strategic leader
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confidence and freedom to be themselves in the workplace. For more information, visit: https://www2.aston.ac.uk/about/inclusive-aston Guidance on AI-Assisted Applications While we cannot prevent applicants
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for more information on Skilled Worker visa eligibility: https://www.gov.uk/skilled-worker-visa Anonymous shortlisting will be carried out for this role as part of Aston University’s commitment to equality
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary This project is a feminist social-science research study that will engage directly with patriarchal