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that predict Litz wire behaviour across electrical, thermal, and mechanical domains. Supported by the MTC’s advanced wire braiding platform, the PhD work will pave the way for next-generation ultra-high speed
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 15 days ago
: Analyse how curation and drying impact mechanical properties and hygrothermal performance. Develop a Predictive Model: Create a computational model linking operational variables and material properties
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of industrial cooking. The project will be based within the Centre for Sustainable Energy Use in Food Chains (CSEF) which has substantial expertise and experimental and computational facilities to support the
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the opportunity for the PhD student to lead the development of innovative simulation tools that predict Litz wire behaviour across electrical, thermal, and mechanical domains. Supported by the MTC’s advanced wire
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enhancement for the duration of the studentship plus university tuition fees at the UK rate. How to Apply Apply online via the above ‘Apply’ button. Under programme name, select ‘Mechanical and Manufacturing
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of the mechanical properties of the cellular actin cortex, the biomechanics of cell division, and the coupling between cell shape and mechanics and cellular state / fate during cellular transitions. The successful
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meet the minimum English language requirements . How to Apply: Apply online via the above ‘Apply’ button. Under programme name, select ‘Mechanical and Manufacturing Engineering’ and quote the advert
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parameters/mechanisms and model outcomes by varying the parameters simultaneously over a large range of values. Once the simulations are performed, the output variability can be apportioned onto the input
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of vehicles and on the efficiency of machinery because of the energy losses in boundary layers. It is therefore desirable to predict the occurrence of transition to turbulence and suppress the unstable
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schemes prioritised over others? What mechanisms exist to evaluate whether schemes are successful (or not)? What lessons can be learned from existing schemes locally and elsewhere to improve outcomes