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High speed photography to investigate surface wear and fatigue in railway rail and wheel steels
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Data Driven Modelling, Machine Learning, Applied Mathematics/ Statistics, or related engineering and computing fields (or have equivalent experience) Essential Application Strong background in data
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order to research the performance of FGM. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities
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with a high degree of accuracy and attention to detail and will have previously supported student or programme related processes. They will also be able to build effective relationships with staff and
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Materials at Sheffield (SMASH) research team in the School of Chemical, Materials, and Biological Engineering. This project constitutes part of the 5-year BuildZero programme , a £6 million project funded by
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Remote robotic welding guided by reliable, non-contact, emissivity-independent temperature imaging and machine vision
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the implementation and ongoing review of programme level approach in the School and contributing to the strategic development of the portfolio. This will involve coordinating high quality and consistent programme and
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of Computer Science, Electrical & Electronic Engineering, and Clinical Dentistry) and beyond. Electrical Impedance Spectroscopy- a technique where a small alternating current is passed through the tissue and the
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and led by Prof Graham Leggett. The aim of our five-year programme is to develop a new modular approach to the creation of photonic materials, inspired by structures found in biological photosynthetic
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Overview An exciting opportunity for a research associate exists within the Multiscale Materials Informatics and Innovation (M2i2) research group, led by Prof. Hector Basoalto, at the University