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, transcriptomics, and bioinformatics, contributing to experimental and/or computational biomarker discovery. The research will be conducted in an advanced scientific environment that fosters cross-disciplinary
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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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, supervised and unsupervised machine learning, and complex data fusion; proficiency in parametric and non-parametric statistical methods, bootstrapping simulation techniques, and experimental design; advanced
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regulation (e.g. MOFA2, MOFA+). Collaborate closely with experimental researchers. Prepare manuscripts for publication in high-impact journals. Present findings at local and international conferences
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physicochemical characterization; ability in experimental design, data analysis, and scientific writing in English; availability for full-time dedication in accordance with FAPESP regulations . Desirable
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nutritional analyses, together with knowledge of experimental design and statistical analysis, is required. Desirable requirements: Candidates should have a strong publication record in indexed international