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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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software. Desirable requirements: Experience in weaning patients from mechanical ventilation, particularly in cases of difficult or prolonged weaning; previous involvement in clinical research conducted in
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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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”. 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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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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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
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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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. Experience in scientific programming, preferably using Python. Familiarity with seismic waveform processing (ObsPy or equivalent software). Willingness to participate in field campaigns, including
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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