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for Smart Services. Curious? Are you interested in this exciting position but still have questions? Feel free to contact contact John Sloggett at j.sloggett@maastrichtuniversity.nl for more information
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obtaining external funding and project management Where to apply Website https://www.academictransfer.com/en/jobs/354387/postdoc-position-on-deep-learni… Requirements Specific Requirements PhD in
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. Our teams combine expertise in nanomedicine, RNA biology, organoid models, and the tissue microenvironment to tackle biomedical challenges with translational potential. The postdoctoral position is part
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for high-impact, multidisciplinary research. Position Description We invite applications for a postdoctoral researcher to advance the multi-scale durability modeling of self-compacting concrete (SCC
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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
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perovskites — for applications in sustainable energy, spintronics, and quantum technologies. By combining physics-based theory with data-driven models, you will contribute to the next generation of predictive
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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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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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, 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 segmentation, enabling
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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