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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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17 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Electrical engineering Engineering » Other Physics » Applied
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Center (WERC) in College of Engineering at the University of Texas at Arlington invite applications for a tenure-track Assistant Professor in water resources engineering with an emphasis on modeling-based
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for interdependent or co-evolving telecom and urban infrastructures driven by real-world data, surpassing state-of-the-art synthetic models; collecting and integrating diverse datasets, including entity matching; and
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data, numerical simulations, and data-driven approaches to uncover structure–property–process relationships and enable predictive modeling. Particular emphasis will be placed on state-of-the-art
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modeling software, sometimes incorporating advanced features like deep learning-driven segmentation and virtual reality (VR) visualization, to create digital models. Manufacturing: Work with manufacturing
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
therapeutic technologies from early concept through prototype development and preclinical validation. This position offers a unique opportunity to work at the interface of biomaterials engineering, cancer
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systems engineering and product development, preferably with a focus on sustainability and circular economy. In-depth knowledge of materials science, sustainability-driven material selection and/or business
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Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven