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well as water ingress events caused by leakage or seawater intrusion. These scenarios involve strongly coupled phenomena, including reactivity changes, graphite-water interactions and temperature feedback effects
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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interact over long evolutionary timescales, and how more recent evolutionary forces shape exonic enhancers. The work will involve the development of reproducible bioinformatics workflows, statistical
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their metabolic properties, their ability to form and maintain tumours, and their response to treatment. The PhD student will also investigate the involvement of these proteins in interactions between tumour cells
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across Europe with 16 doctoral students at the interface of artificial intelligence and mass spectrometry proteomics. In collaboration with researchers at the University of Oxford, we seek a candidate to
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
How do molecular interactions give rise to biological function? How can materials acquire adaptive behaviour and process information? Although these questions arise in different scientific
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interact with other participants in the project. • Responsabilities • Perform research on Platynereis and Ascidian larvae to investigate pressure sensory systems using neurobiology and genetics approaches
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modelling frameworks that capture power and thermal interactions across multiple levels of abstraction, from devices and circuits to complete computing systems. You will study how architectural decisions
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data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody dynamics (MBD) approaches. The model will be used to investigate the mechanisms
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, physics-based numerical models will be developed to simulate train–track–bridge dynamic interactions and their resulting structural responses. The health condition of railway tracks on bridges will then be