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ground and space-based astronomy, engineering and technology development, and education. The research objectives of the CfA are carried out primarily with the support of government, Smithsonian Institution
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state-of-the-art magnetic imaging with advanced electron microscopy techniques. You will generate high-quality experimental datasets that form the basis for data-driven micromagnetic modelling developed
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approaches. Further information can be found here https://www.citystgeorges.ac.uk/about/schools/science-technology/engineering#tabs580800-link580809 Responsibilities The roles are expected to support the
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20 Dec 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Modelling tools Computer science » Programming Engineering » Civil engineering
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prototyping, fabrication experiments, development of experimental setups, material testing, design modelling and optimisation, and the preparation of workflows interfacing with robotic and construction
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business problem scoping to deployment and monitoring of production-grade models-with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and
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is generated and integrated in complex multicellular systems remains limited. Progress in the field requires the development of engineered multicellular models as mechanical reference systems, new
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including data preparation, feature engineering, model training, validation, deployment, and monitoring in production. Natural Language Processing: Advanced knowledge of NLP techniques and large language
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Keywords: Digital Twin of the Ocean (DTO), Artificial Intelligence (AI), Ocean Forecasting & Reanalysis, End-to-End Neural Learning, Observation-Driven and Generative Modelling, Science-driven demonstrations
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rupture, which is one cause of a stroke and thus the prediction of plaque rupture is very relevant. The steps in the development of surrogate models are building data-driven models from medical imaging