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-5/P, TROPOMI) with numerical modeling to monitor air quality and environmental risks. Key objectives include developing high-resolution maps for atmospheric pollutants (CO, NOX, SO2, NH3, OCS, CH4
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of finite element modelling strategies (beam and continuum formulations) for the structural characterization of continuous fiber-reinforced additively manufactured prosthetic feet, with specific reference
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possess solid theoretical knowledge in tissue engineering, in vitro models of human organs and tissues, musculoskeletal biology, biomaterials and regenerative technologies. Hands-on research experience
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image analysis and animal models is desirable. We especially welcome applications from enthusiastic candidates with prior knowledge of a broad variety of laboratory research methods and human and/or mouse
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Knowledge Graph. Together, you will work on: Developing and extending the Helmholtz KG data model, translating scientific and infrastructure requirements into robust, maintainable schemas and ontologies
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Knowledge on forest ecosystem service provisioning Good quantitative skills, specific interest in simulation modelling Good communication skills Ability to work in an interdisciplinary team Your tasks You
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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can be found at: https://www.kcl.ac.uk/mathematics About the role Applications are invited for a Lectureship in Applied Mathematics with a focus on quantitative modelling in the Department
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reactors using ionic liquids. In particular, a methodology will be developed to scale up the laboratory results, and a techno-economic pseudo-transient lumped-parameter model of the reactor will be created
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researcher in data-driven modelling of cyber vulnerability risk within the defence domain (1.0 FTE). The Center for Cognitive Science & Artificial Intelligence in the Department of Intelligent Systems