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the scope of R&D projects SWIFT-AIR - Clean Air for Portugal: Establishing a high-resolution modelling system towards compliance with the ambient air quality legislation (COMPETE2030-FEDER- 00851800
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Environmental Sciences, Environmental Engineering, Geophysical Sciences, Climate Change, or a closely related field, with specialized skills and/or expertise in climate adaptation, climate change modelling
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 15 days ago
type 1 diabetes mellitus mouse/rat models; Competitive scientific publication track-record. Additional Information Website for additional job details https://dozer.i3s.up.pt/fileupload/downloadfile
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experience in the processing and integration of massive datasets (‘big data’), they will contribute to ecological modelling, environmental impact forecasting, and soil biodiversity analysis in the central
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of electromagnetic wave propagation in complex media. The candidate should demonstrate experience in the theoretical and numerical modelling of electromagnetic structures and systems. Experience in areas such as
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image data; Experience in data analysis programs, with special focus on the R programming language; Experience in the development and validation of predictive models applied to the health area
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
transfer enhancement, bioinspired. The system should be numerically modeled, experimentally assembled and tested. Different working conditions will be tested, namely with the use of PCM materials and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of tools for the analysis and computational modeling of multimodal neuroimaging data, comprising resting-state EEWG and fMRI data
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mathematical modeling systems for data analysis problems; ii) Develop data management systems; iii) to promote the dissemination and exploitation of the results generated in the project. 4. Objectives: Develop
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models to predict errors in auditing. This will cover all stages of the project life cycle, including data acquisition, pre-processing, model development, model testing, and reporting of results