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more than 20-year experience in studying residual stresses, structural integrity and multiphysics and multiscale modelling, and enriched by the newly learned knowledge of machine learning, we establish
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more than 20-year experience in studying residual stresses, structural integrity and multiphysics and multiscale modelling, and enriched by the newly learned knowledge of machine learning, we establish
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for appointment as PhD, post doctor and research assistant . good written and oral English language skills Preferred selection criteria experience in and knowledge of machine learning, modelling of additive
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Commission › EURAXESS › Jobs & Funding › PhD Studentship, Machine Learning Methods to Assist Passive Sonar Operations EURAXESS Toggle navigation Jobs & Funding More Working environment Charter & Code
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. This project will focus on the development of new interpretable and interactive machine learning models and data-driven strategies for predicting consensus green chemistry metrics, enabling researchers to make
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collected is currently too large for manual processing and so computer based algorithms are of ever increasing importance, with the machine learning approaches offering the potential to dramatically improve
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://liu.se/en/organisation/liu/mai We are looking for a PhD student in Optimization for Machine Learning formally based at the Department of Mathematics, https://liu.se/en/organisation/liu/mai Division
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://liu.se/en/organisation/liu/mai We are looking for a PhD student in Optimization for Machine Learning formally based at the Department of Mathematics, https://liu.se/en/organisation/liu/mai Division
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” (HMI) axis of the Interactive Computing group at ENAC by raising challenges in terms of the use of machine learning method and immersive visualization to improve quality and performance of interactions
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University of Queensland. Project Methodology: We plan to develop techniques of predictive maintenance based on Data-Driven Machine Learning, in which extensive historical data donated to the project by Hydro