project will take advantage of recent developments in machine learning methods, to enable computer modelling of the mechanical... behaviour of titanium alloys to produce a machine learning-based interatomic potential and reference database...
University of Warwickand worldwide with optimized energy use. This PhD project aims to advance the latest lifelong learning and sharable AI models... from our group on Nature Machine Intelligence The student will be part of a growing group of researchers in machine learning...
Loughborough Universitychemical barrier predictions adds further complications. Machine learning (ML) models of quantum chemistry can achieve fast... drug molecules and need to be considered. Graph-based reaction discovery and generative machine learning provide a path...
University of Warwickresearch, advanced quantitative methods, data skills and machine learning methods for effectively handling micro-level panel... with . Application Process To be considered for this PhD, please complete the strategic Joint Studentship application form...
methods The successful candidate will develop, apply and validate AI-based models (based on machine learning, agent-based... systems. This PhD project will cooperate with national and international projects and you will contribute to develop real...
University of BirminghamApplications are invited for an industrial led PhD studentship aimed at developing new, sustainable, advanced concrete... organic and polymer chemistry, materials science and leading-edge data analysis, including machine learning/AI approaches...
University of Nottingham, computational materials engineering modelling tools and machine learning methods. The project brings together world-leading experts... level, and machine learning methods for process optimisation. Project Title: Strain-banding in Single Crystal (SX...
University of Birmingham, computational materials engineering modelling tools and machine learning methods. The project brings together world-leading experts... level, and machine learning methods for process optimisation. Title: Dynamic responses of solidification microstructure...
University of Birmingham, computational materials engineering modelling tools and machine learning methods. The project brings together world-leading experts... level, and machine learning methods for process optimisation. Title: Role of Defects on Mechanical Behaviour of Single...
University of Birmingham, computational materials engineering modelling tools and machine learning methods. The project brings together world-leading experts... level, and machine learning methods for process optimisation. Title: Comprehensive elasto-viscoplastic models for Ni-base...
University of Birmingham, computational materials engineering modelling tools and machine learning methods. The project brings together world-leading... growth level, and machine learning methods for process optimisation. Title: Modelling of multi-component dendritic growth...
University of Birmingham, computational materials engineering modelling tools and machine learning methods. The project brings together world-leading experts... level, and machine learning methods for process optimisation. Title: Crystal Plasticity Modelling in Single Crystal (SX...
University of Birmingham, computational materials engineering modelling tools and machine learning methods. The project brings together world-leading experts... level, and machine learning methods for process optimisation. Project title: Fundamental studies of heterogeneous...
University of Birminghamgrowth level, and machine learning methods for process optimisation. The ARCANE research programme is offering a funded PhD..., computational materials engineering modelling tools and machine learning methods. The project brings together world-leading...
University of BirminghamAutomation, Machine Learning Overview: This 36-month funded PhD studentship will contribute to cutting-edge advancements in... & robotics and machine learning modelling. This exciting project involves the application of innovative methods such as high...
University of Nottinghamof optimizer) or using tools from statistics and machine learning such as Bayesian inference which mitigate the ill-conditioning... of the problem by incorporating prior information. Many machine-learning models for interatomic interactions have been...
University of Warwick