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) and research experience in Liquid Crystal Materials or Chemistry or a closely related discipline along with strong background in liquid crystal related materials synthesis and/or physics and
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properties and structure of zeolite ion-exchange materials using mechanical testing, x-ray diffraction and computed tomography and developing structure-property relationships. Working across the discipline
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a closely related discipline along with strong background in liquid crystal related materials synthesis and/or physics and characterisation. You will also have direct experience of experimental
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
Position Details School of Metallurgy and Materials, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally
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spectroscopic data analysis. This role forms part of a larger research effort exploring advanced polymer processing techniques and data driven methods to improve material performance and manufacturing efficiency
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internationally recognised university in Mechanical Engineering, Chemical Engineering, Materials Engineering, Applied Physics, Chemistry or another relevant field. This role will focus on multiple projects where
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spectroscopic data analysis. This role forms part of a larger research effort exploring advanced polymer processing techniques and data driven methods to improve material performance and manufacturing efficiency
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supporting students in that process. The department The School of Computing and Digital Technologies is a large and vibrant school engaged in taught programs, research and innovation, and knowledge exchange
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structured development programme and provision of both formal and 'on-the-job' training. The posts are also open to those who are returning to academia after a career in another sector. Successful applicants
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental