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join the team in the SPARK-e project. Job Duties The job duties will be the following: Carry out planned and new experiments, analysis of data, and publication of results; Advance experimental methods
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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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chromatography (LC-MS), as well as data analysis and interpretation and statistical processing; participation in meetings and preparation of project reports, as well as writing scientific articles and various
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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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-MS), as well as data analysis and interpretation and statistical processing; participation in meetings and preparation of project reports, as well as writing scientific articles and various materials
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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 | 17 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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; 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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, 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