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crystal materials to support the complex nature of future designs. To support this, we are already testing material at Swansea as part of the ATI funded ‘HOTLINE’ project. RR will be doing some analysis of
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are highly toxic and can only be reliably tested at >1ppm levels. To overcome this limitation, new sensing materials such as 2D materials and their heterostructures will be investigated to enable ppb level
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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per week) and fixed term for 3 years. Your skills and attributes for success: MSc or equivalent in Physics, Physical Chemistry, Engineering or Materials Science with a solid training in experimental
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polymers for their true potential in replacing metallic components. This will be done by leveraging the state-of-the-art in terms of materials, manufacturing process and design in order to create components
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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Machine Learning Assisted Terahertz Spectroscopy, within the doctoral programme
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Engineering, Physics or Materials Science Excellent English written and spoken communication skills The following skills are also highly desirable: Ability to program in Matlab, Python or similar Strong
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques