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. Integration & automation: connect the optimiser to existing simulation pipelines (DFT → TB/Wannier → transport), ensure provenance and reproducibility, and scale runs on Linux/HPC. Benchmarking & ablations: set
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: Integrate uncertainty estimation (ensembles or evidential methods) to prioritise new calculations and improve data efficiency. Integration: Export learned Hamiltonians to downstream simulation tools for band
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project around the development of AI models for predicting promising catalyst candidates to integrate molecular modelling techniques, experimental data bases and materials data bases together with novel AI
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. Applicants are invited to propose a research project around the development of AI models for predicting promising catalyst candidates to integrate molecular modelling techniques, experimental data bases and
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chemical contaminants. -Surface engineering: Application and optimization of different deposition approaches (e.g., dip-coating, spraying) to integrate the developed coatings onto commercial filtration
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: Integrate uncertainty estimation (ensembles or evidential methods) to prioritise new calculations and improve data efficiency. Integration: Export learned Hamiltonians to downstream simulation tools for band
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complete lab-on-a-chip integration for point-of-care devices. One of the Group's main objectives is to apply the nanobiosensor devices in real clinical diagnostics and environmental control. The Job is