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Field
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Start date – 1st March 2027 (latest) Project Description Machining generates large quantities of swarf, with many components losing 60–90% of their material during the machining stage. This swarf
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to preserve the structure and functionality of active electrode materials, reducing energy consumption and maximising material value. The successful candidate will explore pathways for recovering, regenerating
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-specific characteristics, correlating pulse voltage, current signals and discharge characteristics with material-removal behaviour as well as surface functionalization through deposition, and enable
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uncertainty in material properties, and integrate these capabilities into a multi-disciplinary optimisation framework. You will develop computational tools that link aeroelastic analysis with structural sizing
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interactions in layered 2D materials. This method gives direct access to certain material properties, especially the quantum capacitance, or to the kinetic inductance of a superconductor. In more complex
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for inclusive, sustainable, and beautiful green transitions. Together, these actions generate evidence and transferable strategies that show how culture and care can nurture Europe’s social fabric, ensuring
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-rich waste: up to 75% of silicon can be lost across the value chain, while recycling rates remain around 5%. Existing recycling routes largely downcycle this material into lower-value compounds and do
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integrating power electronic converters and electrical machines we can use common structures and systems to greatly reduce, material usage and energy consumption. Through a multidisciplinary research approach
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devices, building a software-supported framework to predict and optimize laser-material interactions, energy transfer, and resulting micro-scaled features during drilling and shaping, and modelling of beam
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integrating power electronic converters and electrical machines we can use common structures and systems to greatly reduce, material usage and energy consumption. Through a multidisciplinary research approach