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Early-stage failure prediction in fusion materials using machine learning CDT in Developing National Capabilities for Materials 4.0 PhD Research Project Directly Funded UK Students Prof Christopher
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The use of Artificial Intelligence/Machine Learning methods in process optimisation and control is one of the key strategies the formulation industry has adopted to reduce resource and energy
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Machine Learning - Open Rank Faculty Mohamed bin Zayed University of Artificial Intelligence Description Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate
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-efficient machine learning framework that leverages graph grammar to inverse-design polymers with tailored thermal and mechanical properties. By interpreting molecules as graph networks, they will train a
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Learning are highly expected Preferred research directons: Numerical Optmizaton and Scientfc Machine Learning. A PhD in Mathematcs or Applied Mathematcs. Two years of full tme postdoctoral experience with
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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We invite applications for a faculty position in computational science and engineering with a focus on geophysics or fluid dynamics, as well as machine learning with one of the following experiences
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challenges facing the nation. We are seeking a full-time Senior Artificial Intelligence and Machine Learning Research Scientist who will support the Cyber Resilience and Intelligence Division (CRID) in
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Applications are invited for a University Assistant Professorship in the broad area of Machine Learning. The successful candidate will join the Computational and Biological Learning Lab (CBL
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seeking a Machine Learning Research Scientist. In this role, you will work within the PSC’s Artificial Intelligence and Big Data (AI&BD) Group to engage and enable research, assist with user support, as