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of grant, consecutive or interpolated. Preferential factors: Research experience and/or skills in inspection, numerical modeling, non-linear analysis, seismic behavior and strengthening of ancient masonry
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, and citizens with political refugee status are eligible to apply for this competition. Candidate eligibility requirements: a) Mandatory requirements: a. Knowledge in data analysis and exploration
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and training of the candidate appropriate to the activities to be carried out during the contract; 3) Demonstrated practical knowledge in the use of DNA analysis techniques, namely i) in the design of
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altered salt and fat content (innovative); 5) Establish analysis methodologies (physicochemical) for innovative meat products; 6) Establish analysis methods for volatile organic compounds and fatty acid
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Centro de Estudos Filosóficos e Humanísticos (CEFH) | Universidade Católica Portuguesa | Portugal | 11 days ago
objectives: Analysis and identification of different models of subjective well-being (SWB) and design of the SWB matrix. Design and definition of the platform architecture, namely the integration of the SWB
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, to exercise the functions of planning and conducting field and ecotoxicology laboratory work, including experimental assays with multiple stressors and analysis of biochemical biomarkers; statistical treatment
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; Analysis of single-cell transcriptomics datasets; Presentation of results in meetings, reports, and publications; Co-supervision of junior researchers. Where to apply E-mail positions@gimm.pt Requirements
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, implementing, and training new work systems; Proven knowledge in quantitative data analysis; At least one scientific article published in international peer-reviewed journals indexed in Web of Science/Scopus
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contributing to waste reduction. The work plan includes the following activities: Activity 1:Validation of functional prototypes Cross-analysis of the results obtained, with a view to establishing correlations
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Assessment of Stakeholders’ Needs (Task 1) • Data Analysis and development of machine learning models for optimized water management in the Almada Municipality (Task 3 and Task 4). • Support end-user training