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to circular economies. As part of this mission, we are offering PhD positions in the Simulation and Data Lab Digital Bioeconomy (SDL‑DBE). The SDL‑DBE develops and applies multiscale models, AI-enhanced
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The Doctoral Candidate will: Perform numerical modelling of the three NDE techniques to evaluate the influence of relevant material property gradients on each NDE observable generating a sizable synthetic
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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these insights with larger-scale soil and plant models. Perform molecular dynamics simulations to investigate interactions between soil organic matter (SOM), extracellular polymeric substances (EPS), water, and
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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disease progression, care transitions, and quality of life. You will develop and refine a health-economic R-based simulation model, integrating surrogate outcomes from psychosocial and technology-based
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of professor. See the details at: https://ut.ee/en/content/career-model-academic-staff . Job description, incl. requirements for academic staff. Salary Rules. More information about application documents. We
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CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute. ‘Agent-based’ modelling (ABM) simulates large numbers of autonomous yet interacting entities and in Sheffield has
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or graduate student. ● Experience working with high school students and faculty. ● Experience with Model UN or National Museum of American Diplomacy simulations. ● Supervisory and/or
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large-scale numerical simulations to design a laser-based optical system capable of efficiently generating electron-positron pairs through the collision of structured laser pulses. The research liesat