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SCIENTIST Master’s degree in geospatial science, geography, earth science, or closely related fields such as computer engineering, electronic engineering, computer science, or technology Three years
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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related discipline. A strong foundation in at least one of: electrochemical or energy-system modelling, dynamic modelling and control, mathematical optimization, or data-driven modelling. Experience with
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modelling, high-speed device engineering, fabrication-aware optimisation and experimental validation. The final level and scope of the role will be determined based on the successful candidate's background
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battery-related hydrometallurgical leaching as a model system, the project combines controlled experiments, real-time monitoring, chemical analysis, and data-driven modelling. The postdoctoral researcher
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or neural networks) on CFD data to develop a fast, data-driven wind field predictor. You will combine this surrogate model with AeoLiS and evaluate the accuracy of the new model setup by applying it to
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biomedical engineering. Design and optimize three-dimensional printed structures using computer-aided design, numerical modelling, data-driven optimization, and artificial intelligence-assisted methods
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at least one of the following areas: crop modelling, plant sensing or data-driven crop management. Demonstrable experience in translating research insights into practical applications and collaborating with
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” platform based on panoramic seed data. This platform will advance intelligent decision-making breeding technologies driven by the integration of biotechnology, data technology, and artificial intelligence
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Theory Driven Artificial Intelligence to Boost the Science of Learning (AI4SoL) Project Introduction: The use of educational technologies is increasingly becoming more ubiquitous in mathematics education