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, or neural networks). Non-negative tensor factorization will also be applied to identify patterns in the high-dimensional mobility datasets. Social network analysis will characterize relationships between
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study analysis. Knowledge of statistical analysis and use of relevant software’s (e.g., SPSS). - information provided in the CV and/or in the motivation letter; Demonstrated previous scientific and/or
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INV.JUN.17.2025 - DCM | JUNIOR RESEARCHER | MATERIALS ENGINEERING, NANOTECHNOLOGY AND RELATED FIELDS
the candidate's curriculum vitae, it will be delivered within 10 working days; Other documents that the candidates may find relevant for the analysis of their application. If a member of the jury is not fluent in
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Requirements Analysis and Specifications, and Cir4Fun Reference Architecture WP4: Digital Product Passport for furniture WP5: Furniture Data Spaces and Data Management WP6: Integrations, Piloting and Evaluations
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. Implementation of agents for mMTC. Experimentation with a developed prototype and analysis of results comparing them with state-of-the-art approaches. V - Initial grant duration: 3 months V.I - Renewal Possibility
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based on metrics and social network analysis. The objectives of this research are to identify which data-driven criteria categorize a person as an influencer in the financial context; examine variations
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 28 days ago
scientific curriculum. 6. Requirements for admission to the call Mandatory: PhD degree in life Sciences; Motivation Letter in English; Relevant experience in: cell culture; histological analysis of lungs; gene
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publication on the spatio-temporal analysis of CoastNet variables in Portuguese estuarine systems; Participating in the project’s dissemination, communication, and stakeholder engagement activities. V
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analytical techniques such as: proximate analysis, TOC and carbon forms, XRF, XRD, Raman spectroscopy, petrographic analysis by reflected light microscopy, TEM and SEM-EDS; c) Modification of char by thermal
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or similar areas, and fully comply with the following requirements: The doctoral degree must have been obtained at least 1 year ago; Proven experience in GIS environment analysis (QGIS, ArcGIS, R), statistical