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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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. 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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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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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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at RIBES using machine learning and genomics to overcome linkage drag and accelerate crop breeding by design. You will build models, analyse new sequencing data and optimise strategies for combining
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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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settings Where to apply Website https://www.academictransfer.com/en/jobs/354386/postdoc-position-on-reinforceme… Requirements Specific Requirements PhD in Computer Science, Biomedical Engineering, Data
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gaining teaching experience; Ability to drive a car (driving license B). Additional Information Benefits We offer: a position (1 FTE) for 36 months. a working week of 36 - 40 hours and a gross monthly
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data. Perform numerical simulations of subsurface hydrogen storage including chemical reactions for an ensemble of geological models that were developed in the Rapid Reservoir Modelling software. Develop
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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