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research area (30%) D. Experience in chromatographic analysis, extraction methods, cell cultures, determination of biochemical parameters, and food analysis (30%) E. Diversity and quality of scientific
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) experience in sample processing and laboratory analysis of microorganisms, in the cultural and molecular aspects (35%). If the decision to be taken is unfavorable to the granting of the requested scholarship
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analysis and interview (curriculum analysis, interview; others), and will start with the candidate's merit, where they will be considered and weighted according to the following:• Adequacy of the area of
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Models – information to be provided in the CV. Additional optional skills and qualifications: Preference will be given to candidates with previous experience in the areas of biochemistry and data analysis
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in the CV. Additional optional skills and qualifications: Preference will be given to candidates with previous experience in data analysis, as well as experience in programming with Python, R, SQL, and
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Engineering, skills in the areas of Geographic Information Systems, Geodesy and Hydrography. Additional optional skills and qualifications: Experience with GIS software and geospatial analysis tools. Experience
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 12 hours ago
evaluation (total score 90%) - through the analysis of the applicant´s CV (54%), research experience with relevance for the project work plan (18%) and motivation letter (18%). An assessment will be made (on a
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in microbiological analysis, molecular biology and bioinformatics (35%). If considered necessary, the three best-ranked candidates may be interviewed, with the interview being valued at 30
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Loureiro Lemos (Alternate Member). APPLICATION DEADLINE: From August 29 to September 11, 2025 SELECTION METHODS AND EVALUATION CRITERIA: The evaluation will be made through curriculum analysis, and will
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of the key performance indicators defined by the WP1 teams; and 3) developing applications for visualization and analysis of data and metadata. 6. Legislation and regulations: The fellowship assignment will be