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cities and databases. Mandatory requirements: PhD in engineering, data science and computing, mathematics, or statistics; experience in engineering, data science and computing, mathematics, or statistics
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, supported by Large Language Models (LLMs). Mandatory requirements: The candidate must hold a Ph.D. in Computer Science or a closely related field. Desirable requirements: Experience in Information Retrieval
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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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at https://www.labcidade.fau.usp.br/vaga-de-pos-doutorado/ by August 17, 2026. Required documents: FAPESP-format CV, graduate transcripts (Master's and PhD), and a cover letter (up to 1,500 words
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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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findings to public-sector partners; and contributing to reports, journal articles, and national and international conferences. Mandatory requirements: PhD awarded within the past 7 years by a recognized
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reports; publish high-impact papers; lead dataset deposits; organize partner workshops. Mandatory requirements PhD in Soil Science, Agronomy or Environmental Science; Solid experience with soil macrofauna
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also includes a 12-month research stay at Columbia University funded by FAPESP (BEPE ). Mandatory requirements: PhD in Physics, Materials Science, or a related field, completed or with defense scheduled
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. Mandatory requirements: PhD in Social Sciences or a related field, completed less than seven years ago, subject to extensions allowed by FAPESP; proficiency in qualitative methods and basic knowledge
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to their Lattes CV, ORCID, and other relevant profiles; and (iii) A recommendation letter, preferably from the PhD supervisor, or from another referee familiar with the applicant's scientific and technical