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experience in image-based phenotyping, artificial intelligence applied to grapevine breeding, genome-wide association studies (GWAS), genomic selection (GS), and statistical analysis. Mandatory requirements
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, microstructure, and properties. Data analysis and preparation of scientific papers, reports, and conference contributions. Mandatory requirements: PhD in Materials Engineering, Metallurgical Engineering, or
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; - Proven experience in an academic or industrial laboratory setting in medicinal chemistry synthesis and chemical fragment screening; - Experience in data analysis and integration, and molecular modeling
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cultivation under different experimental conditions. Experience with chromatographic techniques, particularly HPLC and/or LC-MS. Experimental design and statistical analysis. International scientific
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strategies and artificial intelligence based on chemical analysis results. The researcher will be responsible for the integration, processing, and interpretation of data, applying statistical methods and
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with mayors and street-level bureaucrats in Brazil, data organization, coding and analysis, comparison of Brazilian and Belgian findings, and contributions to papers and dissemination activities
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-effectiveness of strategies for preventing long-term central venous catheter-related infections in oncology services. Responsibilities include data analysis using Python and R, health economic evaluations
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staff position within a Research Infrastructure? No Offer Description Activities and context: The aim is to develop a comparative analysis of geological risk management procedures in UNESCO Global
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spectroscopy – FTIR, X-ray photoelectron spectroscopy – XPS, thermogravimetric analysis – TGA, differential scanning calorimetry – DSC, atomic force microscopy – ATM, among others). Scientific reports and
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years. Demonstrated research experience in cropping systems, evidenced by peer-reviewed scientific publications. Experience in data analysis and modeling using R and/or Python. Knowledge of statistical