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additive manufactured filters as counter-measures to the formation of oxide stringers in the liquid metal. The PhD candidate, who will study at the University of Birmingham and the University and Rolls
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opportunities. This post will be funded by the $6.4M Wellcome Leap programme awarded to the University of Birmingham to study Dynamic Resilience. The purpose of the new role is to lead Wellcome Leap WP 1c and
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should be implemented via FE simulation code User Functions by the PhD candidate. The PhD project, based at Rolls-Royce and the University of Birmingham's joint High Temperature Research Centre (HTRC) will
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of plastic deformation across different planar orientations based upon the fundamental crystallographic structure of Ni-base superalloy. Thus, this PhD, based at the University of Birmingham, will aim
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modelling tools and machine learning methods. The project brings together world-leading experts in both academia and industry, across fields including superalloy metallurgy, microstructure characterisation
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at the University of Bristol and the University of Birmingham. Based at the University of Bristol, this research post will focus on developing a suite of configurable machine learning models suitable
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Supervisory Team: Dr Han Wu PhD Supervisor: Han Wu Project description: In the wake of growing data privacy concerns and the enactment of the GDPR, Federated Learning (FL) has emerged as a leading
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for Medium Range Weather Forecasting (NCMRWF, India). The position is within the project ‘HEavy Precipitation forecast Post-processing over India with Machine Learning’ (HEPPI-ML), which is funded through
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develop, apply and validate AI-based models (based on machine learning, agent-based, mixed-integer programming, etc) primarily to: predict energy demand in multi-energy systems (electricity, heat
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modelling tools and machine learning methods. The project brings together world-leading experts in both academia and industry, across fields including superalloy metallurgy, microstructure characterisation