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of computer vision, machine learning, and behaviour & dialogue modelling. If you have questions about the position you wish to discuss before applying, please contact Esam Ghaleb: esam.ghaleb
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of computer vision, machine learning, and behaviour & dialogue modelling. If you have questions about the position you wish to discuss before applying, please contact Esam Ghaleb: esam.ghaleb
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corrosion and embrittlement in reactor environments, remains incomplete, and key mechanical properties are scarce. Without reliable experimental data, our ability to develop predictive models
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join TU Delft as a postdoc on the CHESS project to model, design
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Join TU Delft as a postdoc on the CHESS project to model, design, and validate next-generation façade-integrated solar heat systems for gas-free high-rise buildings. Job description Delft University
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interpretation is subjective, heavily relying on clinician expertise. This project funded by the Hanarth fund combines ultrasound imaging with histopathology data to train advanced AI models for automatic tumor
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on carbon turnover models and the fusion of data science forecasting methods with process-based models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your
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with partners across Europe: data sharing, code exchange, joint publications and reporting. Your qualities You hold a PhD (or near completion) in Soil Science, Environmental Modelling, Biogeochemistry
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physics, microscopic modelling of different materials, and quantum information theory. Hybrid Super-Semiconducting Systems: You will contribute to pioneering research in hybrid super-semiconducting systems
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experimental data, our ability to develop predictive models for the properties and long-term performance of reactor materials is also limited. This position is part of the MAGIC-RR project (Materials Ageing and