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modelling material, process, or product behaviour (such as using analytical, finite element (FE) analysis, thermodynamic, and data-driven modelling approaches) Experience in working with industrial partners
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relevant background within control, building, or HVAC engineering. A background in applied mathematics can also be relevant if there is a strong focus on data-driven modeling, machine learning, and control
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26th May 2025 Languages English English English The Department of Structural Engineering has a vacancy for a PhD Candidate in Multiscale modelling of grain boundary failure in high-strength
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refresh page to watch video, or click here to open video) PhD Position in Microelectronics The Department of Physics and Technology at the University of Bergen has an opening for a PhD Fellow in
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? ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD Position in Microelectronics The Department of Physics and Technology at the University
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strong theoretical and numerical foundation in FEM, with applications in adaptive and performance-driven design. The work supports the broader goal of transforming how engineers and architects
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industrial processes, use of new and recycled materials, new technological solutions and the application of new forms of organization and business models. The Department of Manufacturing and Civil Engineering
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14th May 2025 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in Artificial intelligence guided materials discovery and
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of Offshore Wind Turbines - DATA-DRIVEN OFFSHORE (Link: https://www.uib.no/en/nt/159993/will-develop-groundbreaking-offshore-wind-technology-erc-grant ). About the project/work tasks Offshore wind energy is
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mathematical modeling, numerical optimization and control. Knowledge in machine learning and data driven decision making methods. You must have a master's degree in engineering Cybernetics, Control Engineering