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approaches, the development of food formulations, and the supervision of undergraduate students, as well as the co-supervision of graduate students involved in the project. Mandatory requirements: Candidates
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to staff position within a Research Infrastructure? No Offer Description Activities: The post-doctoral researcher will develop machine learning models to evaluate the effectiveness and cost
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management databases; applying statistical methods to identify the main factors driving yield gaps; estimating productivity frontiers and crop responses to management practices; developing agronomic
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mouse models, cell culture, molecular biology, processing of biological samples for omics analyses, and assessment of in vivo lipogenesis using radioisotopes. Mandatory requirements: Degree in Biological
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; • Familiarity with statistical analyses and modeling as well as machine learning approaches, supported with strong skills in computational optimization of methods; • Experience working with large-scale datasets
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São Carlos.” Mandatory requirements - PhD in Computer Science; - Experience in developing architectures for data interoperability and integration; - Experience in developing data platforms
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in molecular biology, with emphasis on primer design and validation and gene expression analyses. Proficiency in statistical analyses, including multivariate approaches and mixed models. Established
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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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in a dynamic and internationally recognized group. Activities include generation of genetically-modified mouse models, isolation and in vitro culture of mouse germ and embryonic cells, molecular
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mixtures, a capability that is indispensable to the development of the project as a whole. The researcher will also contribute to the numerical robustness and convergence of the simulation tool, as