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sponsors. Demonstrated success in performing meticulous, high quality and compliant work. Ability to interpret complex research and fiscal policies, assimilate information from a wide range of resources and
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measurement technique development, atmospheric modelling, and advanced methods for integrating observational and model data through data assimilation and machine learning. About the research project The overall
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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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reduction, with an emphasis on maintaining physical consistency, numerical stability, and real-time data assimilation within reduced-order models. Primary application areas include computational physics and
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field. This approach is related to data assimilation, allowing for better prediction, control, and optimisation of turbulent systems in engineering, energy, and environmental applications
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- data modeling and assimilation towards experimental measurements under consideration of uncertainties - utilization of Explainable AI techniques to enable novel scientific discoveries - explore and
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of Swedish and English is a requirement. Basis of assessment Selection among applicants must, according to the Higher Education Ordinance Ch. 7, take place with regard to their ability to assimilate
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learning, data assimilation, and high-performance computation, with the constraints from the satellites observations and in-situ measurements; publish research output in academic journals and conferences
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shaping the future. https://nusit.nus.edu.sg/ Job Purpose The candidate will primarily be responsible for delivering IT projects related to prospective students, current students, lifelong learners, alumni
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sponsors. Demonstrated success in performing meticulous, high quality and compliant work. Ability to interpret complex research and fiscal policies, assimilate information from a wide range of resources and