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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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Remote robotic welding guided by reliable, non-contact, emissivity-independent temperature imaging and machine vision
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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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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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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
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foundational training in fusion engineering as part of the cohort, and supported to complete a portfolio to support CEng status. For more information about the CDT programme please visit www.fusion-engineering
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Computational analysis of the flow through aerofoil cascades School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Prof