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are seeking a highly motivated candidate to strengthen our enthusiastic research group, Data Assimilation and Optimization, working at the forefront of ensemble-based data assimilation methodology, optimization
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for spatiotemporal data (e.g., CNNs, LSTMs, Transformers, or Graph Neural Networks). Hybrid modeling: Experience with physics-informed machine learning or the integration of ML with data assimilation/multivariate
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
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Speirs. The University of Aberdeen is home to the Aberdeen Computational Biology Forum, which brings together biomedical scientists, statisticians, computer scientists and physicists from across
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ideas, and assimilate the information into project design/interpretation. Lead and support implementation science studies. Support and engage in research efforts in community clinics and service
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tables) and publish in peer-reviewed literature. Read literature articles, develop new ideas, and assimilate the information into his/her project design/interpretation. Dissemination of studies: Interact
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Description: Key Roles and Responsibilites: Conduct research, record data, analyze data, and interpret experimental results. Read literature articles, develop new ideas, and assimilate the information into his
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Description: Job Duties Outlined: Conduct research, record data, analyze data, and interpret experimental results. Read literature articles, develop new ideas, and assimilate the information into his/her