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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 2 months ago
support UK industry to reach net zero. Alongside their research, our PhD researchers gain valuable training in how to apply their research within the wider industrial system, including opportunities
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are deeply committed to advancing characterisation methods and workflows that address pressing challenges in areas such as correlative characterisation, biological systems, net-zero and the circular economy
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recognizes hydrogen as an efficient, low-carbon solution to achieving greater industrial sustainability and meeting net-zero targets. Implementing this vision necessitates a diverse array of technologies
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to machine learning and deep neural networks, into the DG finite element solver to reduce computational costs while maintaining the accuracy. The key objective of this work will be to provide step-change
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join a vibrant, diverse, international community, with established record of delivering excellence in research, training, and student supervision, and with extended international network of research
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part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both research students and staff, providing a
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that align with Net Zero targets without compromising torque-speed performance. Aim This PhD project aims to develop a new generation of electric machines optimised for sustainability across the full lifecycle
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based on combustion engines, which plays a crucial role for sustainable development and Net Zero. Power electronics converters is a key enabler for vehicle on-board electrical power conversion. Therefore
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discussion regarding the PhD. This is an excellent opportunity for an enthusiastic graduate to build a strong skillset in interdisciplinary research and a collaborative network with both academic and
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costs, PhD tuition fee, mobility allowance, family allowance (if eligible) Mobility allowance (if applicable): 600€/month Family allowance (if applicable): 495€/month Research, training and networking