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, education, and transportation due to diverse systems, formats, and policies. This 24-month post-doctoral project aims to design and implement innovative solutions, such as lakehouse architectures, to enable
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of a File from a Sustainability Perspective,” which aims at understanding the various influences on a code file—an “atomic unit” of software—and determining the factors that affect that file's success
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to staff position within a Research Infrastructure? No Offer Description Activities and context The project aims to investigate the three-dimensional architecture of mitochondrial DNA (mtDNA) using
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of the University of São Paulo (USP) in its Butantã campus. Mandatory requirements: Applicants must hold a PhD degree obtained within the past seven years and preferably have a background in architecture and design
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architecture associated with responses to HLB, integration of “omics” data, and complementary analyses on gene family analyses, transposons, small RNAs, and microbiomics. Mandatory requirements i) Hold a PhD
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transmission electron microscopy (TEM/STEM) and/or advanced image-processing techniques; proficiency in programming and in the application and development of software and computational tools for scientific data
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knowledge of SAS software; fluency in English, both spoken and written, for participation in international activities and collaborations; availability to reside in Piracicaba, state of São Paulo, Brazil
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implementation, surveys, quantitative analysis, qualitative data analysis software, team coordination, and fieldwork; publications in leading journals and experience presenting findings to public officials. How
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”. The primary objective of this post-doctoral project is to inform public policy decisions regarding rare diseases by enhancing the understanding and effectiveness of the software developed. Employing an approach
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statistical software (R, Python, SAS, or similar); English proficiency for reading, writing, and presenting; full-time residence in Piracicaba. Desirable requirements Experience with large datasets and metadata