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Experience1 - 4 Additional Information Work Location(s) Number of offers available1Company/InstituteUmeå universitetCountrySwedenCityUmeåGeofield Contact City Umeå Website http://www.umu.se/english/about-umu
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closely related discipline, with postdoctoral or equivalent professional experience preferred. You will bring: Expertise with geospatial datasets, data assimilation, and the use of marine sediment and ice
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of information in its material forms (documents) as well as the institutions, such as libraries, where this takes place. The subject also includes cultural, societal, and technical prerequisites
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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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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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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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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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processes. Ability to assimilate data from various sources. Demonstrated knowledge of HIPAA regulations to ensure that patient information is guarded and respected. Ability to navigate a facility with
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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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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