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. Experience and skills designing, building and optimising optical, optoelectronic, material characterisation, lithography, microscopy, sensor characterisation systems. Experience and skills in computer
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. Experience and skills designing, building and optimising optical, optoelectronic, material characterisation, lithography, microscopy, sensor characterisation systems. Experience and skills in computer
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will make a leading contribution to a project aiming at the development of a new type of superconducting quantum circuits and their integration with cryogenic quantum electronics (e.g. quantum logics and
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About the Project This PhD project is built on a multidisciplinary collaborative project between Anglia Ruskin University (AI) and University of Cambridge (Electronic Engineering Division in
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automotive and motorsport courses at master’s level, and engaging in academic research and commercial consultancy. Interests are wide-ranging from mechanics and materials through to computer vision and self
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intuitions, with expertise in Material Science, Control Engineering, Electronic Engineering, and Structural Engineering. This is a novel concept for harvesting wave energy through dielectric fluid, and it is
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Python), electronic circuits, and Machine Learning. The ideal candidate will have a working knowledge of key software tools such as CST Microwave Studio, Ansys HFSS, and MATLAB for system level simulations