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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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Sciences or related fields, with a PhD in Sciences from a graduate program in Biochemistry or Physiology; experience with white and/or brown adipose tissue metabolism and physiology; handling, breeding, and
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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
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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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, and machine learning applications for developing predictive methods. Desirable requirements: The candidate must possess scientific maturity to solve problems, proficiency in English scientific
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the distinct characteristics and effects of the financialization of agribusiness in Tocantins. Mandatory requirements: 1) PhD in Social Anthropology; 2) Experience in ethnographic research in the Central-West
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be responsible for conducting and optimizing chemical synthesis activities targeting specific proteins. Mandatory requirements - PhD in a field related to organic chemistry or biological chemistry
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. Mandatory requirements: Demonstrated knowledge of machine learning techniques and programming, with extensive experience in data analysis using Python and R. PhD in Economics, with expertise in health
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). Eligibility Applicants must hold a PhD degree obtained within the last 7 (seven) years prior to the start of the fellowship, from a recognized higher education or research institution in Brazil or abroad, with
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cloning, confocal microscopy, next-generation sequencing, bioinformatics. Mandatory requirements: Applicants must have obtained their PhD within the past seven years; demonstrate experience in at least one