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, informed by the characteristics of the technology of delivery; • To validate profiles using available demand data; • To integrate barriers and enablers into the model of ASHP installation. Person
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that support more integrated preventative approaches to complex needs. This interdisciplinary project is ideal for students interested in applied data science, public policy, and improving outcomes
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defects without compromising structural integrity, thus ensuring passenger safety and operational efficiency. The project aims to design and prototype a ground-based automated inspection system capable
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pathways in forms of infant leukaemia driven by the MNX1 oncogene (https://doi.org/10.1038/s41389-022-00426-2 ; https://doi.org/10.1042/BSR20220489 ). The post-holder will integrate within the Tosi Lab, and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 8 hours ago
supported research program and to integrate agroforestry within existing academic, research, and extension programs in forestry and agriculture at UNH. The research assistant professor faculty member will
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parameters, underlying material geometry and process environment). • Integrating process-dependent transferred arc energy distributions into an improved heat source model for FEA simulations. • Creating an FEA
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analysis methods. You will gain expertise in integrating experimental total scattering and high-resolution imaging data with artificial intelligence and atomistic simulation tools to overcome current
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of our research, we continue to undertake initiatives to ensure that integrity, ethics and excellence are at the core of our research activities and fully embedded in our research culture. View All
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of its research, as evidenced by the Research Excellence Framework 2022. In order to maintain and uphold the high standards of our research, we continue to undertake initiatives to ensure that integrity
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
intelligent methods that integrate large language models (LLMs) and knowledge graphs to interpret technical documentation and structure complex engineering knowledge. The goal is to create digital twins