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numerical modelling of steel storage racking systems, as well as in conducting non-linear structural analyses. This work will serve as a basis for developing fragility functions for existing racks and
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, extraction methods for emerging contaminants (micropollutants), and exposure risk assessment. 4. Selection methods Pursuant to Article 29 of Regulation No. 849/2026 of 7 July and Article 5 of the RJEC
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the following theme: Development and validation of robustness characterization methods for machine learning models on time series based on dataset morphing. In this context, the fellow’s work plan
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-of-life substrates; iii) methods for characterising substrates; iv) statistical treatment of results, namely experimental design (DoE). Knowledge and experience in all the areas mentioned – 5 points
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analyses of processes and life-cycle assessments; (ii) developing Python-based computational tools; (iii) advanced knowledge of non-linear optimisation tools. 4. Selection methods Pursuant to Article 29 of
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ecoinvent database, and of techno-economic studies; Skills in the communication and dissemination of scientific results in events of various natures. 4. Selection methods Pursuant to Article 29 of
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open for applications for a research grant within the framework of project SMARTAIR4SCHOOL - Smart optimisation of Indoor Air Quality in Schools, reference 2023.15742.PEX with DOI: https://doi.org
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Mitigation, with the reference: BiodivNBS/0007/2023 and DOI: https://doi.org/10.54499/BiodivNBS/0007/2023 , financed by Fundação para a Ciência e a Tecnologia, I.P. , through national funds, under the
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applications : The call is open from 15/10/2026 to 30/10/2026 (until 23:59 local time). Applications must be submitted via the online application system available at https://www.apply.up.pt (Ref
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presentation of the applications : The call is open from 11/09/2026 to 24/09/2026 (until 23h59m, GMT time). Applications must be submitted via the online application system available at https