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Field
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Challenge: Managing flood risk in vulnerable interconnected regions. Change: Advancing hydraulic modelling and NBS for resilience. Impact: Protecting communities with smarter adaptive strategies
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Applications are invited for a Postdoc position within the research project “Uncovering the creative process: from Inception to Reception of translated content using machine translation” (INCREC
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reservoirs in terms of geology. Using advanced geological modelling and numerical simulation techniques, this position will investigate the geological controls on hydrogen storage in depleted natural gas
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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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who meet the following criteria: PhD in a related discipline. Expertise in one of the following areas: Single-cell and spatial transcriptomics, whole genome sequencing, proteomics, organoid modelling
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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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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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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