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measures that are robust, reproducible and relevant to assessments used in patients and mammalian disease models. Your research will combine different approaches to: Develop and standardise behavioural
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Develop advanced models to understand and predict piping
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particles and flowing water across different spatial and temporal scales, while keeping the models computationally efficient. The research builds on an Eulerian two-phase modelling approach previously applied
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LiDAR based foundation models to radar, as well as the development of multimodal foundation models incorporating radar. A further challenge is how different radar representations and sensor configurations
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which information to explore, and how different ways of structuring learning environments influence curiosity and learning. Computational models will be used to characterise individual differences in
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different radar representations and sensor configurations can be accommodated within a general foundation model framework, and to what extent a common model can generalize across them. Research directions may
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for identifying drug repurposing candidates. You will contribute to different stages of the research project. Your work will include: Developing and using human in vitro models derived from patient and control
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will be to quantify how mixing aircraft with strongly differing performance characteristics affects safety, efficiency and capacity, and to develop the metrics and models needed to make those effects
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biogeochemical processes that govern their behaviour. Job description The PhD candidate will develop and analyse new process-based mathematical models to improve our understanding and predictive capability
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and