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calculate and simulate the hybrid system of several design scenarios. Advanced control strategies will be developed to match the load with the variations of solar/wind energy generation and storage. Funding
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data processing software will then be developed or applied to gain physical insights into the complex combustion phenomena. The applicant is expected to work both independently and in a team because the
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project. The Tribology group use ultrasonic equipment to inspect machine components and rail. This means that the successful candidate will have the opportunity to develop mathematical models that describe
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. While the latter, specific case was investigated in the STSQuad research group at The University of Sheffield, the extension to different degrees of information for attacker and defender, hence covering a
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therapy. For more information, please contact Dr Twyman (l.j.twyman@sheffield.ac.uk) and see Dr Lance J. Twyman | Chemistry | The University of Sheffield Subject Area: synthetic chemistry, medicinal
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Searching for Sterile Neutrinos and other Beyond the Standard Model phenomena with SBND
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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing
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Do nutrient availability and the extracellular matrix affect therapy response in cancer? School of Biosciences PhD Research Project Self Funded Dr E Rainero Application Deadline: Applications accepted all year round Details The tumour microenvironment (TME) plays a pivotal role in controlling...
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challenges facing the development of this technology. In particular, combustion issues related to safe and stable operation of CFB/FB boilers when burning a variety of solid fuels are not yet fully understood