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industrial component given the close collaboration with the quantum computing start-up, Quantum Motion, particularly with Dr. Ciriano-Tejel, machine learning group. Key responsibilities Conduct research
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Harmony campuses Other Job Elements The physical demands listed below represent those that must be met by an incumbent to successfully perform the essential functions of the job. Reasonable accommodations
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collaboratively and effectively as part of a team as well as independently, with minimal supervision. Demonstrated computer literacy including Microsoft Office suite and ability to install software programs
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. Your role and goals You will develop data-driven and machine learning workflows for predicting how atoms rearrange on the surface of materials such as metal oxides and semiconductors. Knowledge
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, natural language processing (NLP) and machine learning Connected and autonomous vehicles Disaster and natural Hazard assessment and management Discrete element method (DEM) and finite element methods (FEM
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work with the UK semiconductor industry. The studentship represent a unique opportunity to be trained in the epitaxy process and to work in an emerging and exciting area of combining AI/machine learning
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the Department of Engineering Science and Mathematics. The department has several other research topics with activities that border on material technology, such as materials mechanics and machine elements. In
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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hardware. Considerable knowledge of troubleshooting methods, procedures, equipment and component testing, and use of hardware and software diagnostic tools. Demonstrated experience supporting: Network