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communication skills in English. Ability to work independently and in a collaborative environment. PREFERRED QUALIFICATIONS Experience with single-cell omics data analysis. Familiarity with statistical analyses
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-reviewed journals; • Excellent communication skills in English; • Ability to work independently and in a collaborative environment. Desirable requirements • Experience with single-cell omics data analysis
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position within a Research Infrastructure? No Offer Description Activities and context: The fellow will work on Axis 1, which examines the formulation and implementation of the São Paulo State Curriculum
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, Territorial Planning and Management, Economic Geography, and related fields; experience in the construction, development, and interpretation of databases; use of statistical software; analysis of agent networks
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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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independently and as part of a team. Desirable requirements Familiarity with chemical fragment screening methodologies, chemical analysis via high-performance liquid chromatography coupled with mass spectrometry
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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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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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of quantitative methods; ability to design, conduct, code and analyze interviews using qualitative analysis software; fluency in spoken and written Portuguese and English; basic proficiency in Microsoft Office
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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