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biology and comparative genomics; - Demonstrable experience with bioinformatics tools for genome analysis; - Demonstrable experience with bacteriophage genome assembly and annotation; - Proficiency in
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; - Proven experience in molecular biology techniques, clinical pathology, and translational research with human samples; - Basic knowledge or high motivation to work in bioinformatics and omics data analysis
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at least one of the following topics: school curriculum, educational assessment, educational public policies, or inclusive education; analysis of curricular guidelines such as the National Common Core
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detector/air-shower simulations and/or gamma-ray/multi-messenger astrophysics; strong programming/data analysis; excellent English. This opportunity is open to candidates of any nationality. Apply: send Prof
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(outcomes). Several strategies of analysis will be used. This opportunity is open to candidates of any nationality. Each selected candidate will receive a FAPESP Post-Doctoral fellowship in the amount of R
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will contribute to the continuation of an ongoing study with traditional communities, including transcription and qualitative analysis of interviews, interpretation of results from a socio-ecological
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). Candidates must meet the following requirements: - PhD in Computer Science; - Experience in research on the use of AI to recommend code refactoring opportunities; - Experience with data analysis and data
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Area, and coordinated by Professor Alfeu Joãozinho Sguarezi Filho. The research is part of an international research network and involves geospatial analysis, optimization and modeling, as
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processing and analysis, including multiplex assays, western blotting, immunofluorescence, and fluorescence/confocal microscopy. The selected candidate is also expected to co-supervise undergraduate and
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planted forests; • Experience in data analysis (R or Python); • Fluency in scientific English; • Valid driver’s license; • Availability to reside in Piracicaba. Applications: via the link https://forms.gle