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University of Stavanger invites applicants for a PhD Fellowship in Surrogate Modelling of Fluid Flows using Deep Learning at the Faculty of Science and Technology, Department of Mechanical and Structural
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, functional Magnetic Resonance Imaging (fMRI), structural MRI, and predictive modelling approaches. As the assessment tools have already been established and implemented, the project is now at an exciting stage
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materials, with microwave metamaterial and device designs, to help develop a new class of reconfigurable electromagnetic structures. This will involve using various simulation programmes, both for mechanical
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Theory (DFT) calculations using established codes (e.g., VASP, FHI-aims). Demonstrated experience with traditional methods for modeling atomic site disorder, such as special quasi-random structures (SQS
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techniques for global and regional seismology. Travel time tomography, on regional and global scale, has been one of the main tools in determining the Earth’s velocity structure. Among other things, travel
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institutional structures and priorities. HERITOUR investigates how current collaborations function and how cross-sectoral policies can be developed within a democratic and regenerative governance model
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institutional structures and priorities. HERITOUR investigates how current collaborations function and how cross-sectoral policies can be developed within a democratic and regenerative governance model
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handling, digestion, data processing and computational workflows for high order structure determination, that will accelerate Amgens therapeutic pipeline. This is a 4 year term. What we expect of you We
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research that integrates engineering models of power systems with modern econometric and economic analysis. Responsibilities include conceptualizing and implementing statistical and structural models
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Electronic, Optical Engineering or related field from a reputable University Expertise in application of AI Experience in condition monitoring or structural health monitoring Good publication track record