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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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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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evaluation in cell models. Positions: 1 Duration: 12 months, with the possibility of renewal up to a maximum of 48 months, subject to FAPESP Postdoctoral Fellowship regulations and satisfactory performance
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well as in the operation of analytical instruments for the structural characterization of nanostructures. The candidate must have a PhD in Physics, Chemistry or Materials Engineering (or related). How to apply
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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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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
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Pharmaceutical Sciences, Pharmacy, Chemistry, Chemical Engineering, Biotechnology, Materials Science, or a related field; proven experience in micro- or nanoencapsulation, controlled-release systems, and
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, Engineering, or a related field. Advanced proficiency in programming, mathematics, and the English language. Desirable requirements: Experience with applications involving image classification. How to apply
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for the fellowship requirements published by FAPESP (https://fapesp.br/en/postdoc ). Desirable requirements: Familiarity with audiovisual devices; proficiency with audiovisual technology and video editing; interest in