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to weather patterns and extreme events. Despite their importance, critical controlling processes remain poorly understood, underscoring the urgent need to improve Earth system modeling. Significant
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combining wave modelling, field observations, remote sensing, advanced mathematical methods and AI, the research will quantify spatial patterns of wave set-up, its statistical distributions and co-occurrence
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will be analyzed considering various scenarios. To this end, agents having similar characteristics to the entities (job seekers and firms) will be defined in an agent-based model, which will simulate
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will be analyzed considering various scenarios. To this end, agents having similar characteristics to the entities (job seekers and firms) will be defined in an agent-based model, which will simulate
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challenging for classical computing architectures. Some of your responsibilities will include: Design and develop mixed-signal circuits for implementing ONNs. Modeling, simulate and benchmark different
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analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN implementation topology and its energy efficiency
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, aiming to enable faster, cheaper, and more robust production through machine learning, multi-scale modelling, and advanced process simulation. The successful candidate will be based at the Bristol
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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve
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: MSc or equivalent in the field of aerospace engineering or similar Solid knowledge of Computer Science and Informatics (simulation, optimisation and modelling tools; surrogate modelling, statistics and
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. Recent progress in text-to-image generation, fueled by diffusion models and large-scale training, has greatly improved image synthesis aligned with textual prompts. This project, however, focuses on a