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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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physical strain. With a suicide rate 3.7 times higher than the general population, the construction industry has become one of the most stressful and dangerous sectors, highlighting the urgent need
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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physics and diagnostics at the York Plasma Institute Computational combustion modelling using High-Performance Computing (HPC) Machine learning techniques for predictive combustion models Research
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Award duration: 4 years Food processing currently relies heavily on the combustion of natural gas to provide process and space heating. Until recently, natural gas was considered the preferred fuel
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Gerard Cummins at G.Cummins@bham.ac.uk with a CV and academic transcripts. Further details are available here: https://www.intelli-ingest.com/individual-doctoral-project The selection process is open
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, nuclear engineering, fusion energy, chemical engineering, physics, chemistry, mechanical engineering to name a few. No prior experience is mandatory. Some knowledge of fusion basics and/or microstructural
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of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system including propulsion motors, power converters, fuel cell and batteries etc within the real-time simulation
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model of particle physics can be tested, for example to help analyze experimental results from the LHC or the experiment to measure the properties of the muon at the Fermilab particle physics laboratory
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undertake ground-breaking research in the fields of impact engineering, shock- physics, and materials science, involving elements of both experimental and computational physics. You will be based at Begbroke