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. Randomization, participant training, and implementation of the intervention. Mandatory requirements: PhD obtained within the past 7 years, with degree completion by January 2027. Availability to conduct the post
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automatically generating insights from heterogeneous databases related to hunger and food security; 2. To implement the proposed framework in a focused case study for the city of São Paulo, combining different
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experience relevant to the project; (iii) proof of PhD completion; and (iv) the names, affiliations, and email addresses of two researchers for reference. Use the email subject: “FAPESP Postdoctoral
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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(MRO), as well as interpretation of results and collaboration with CEMol teams and partner institutions. Mandatory requirements: PhD in Materials Science or related fields; proven experience in
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preparation, as well as writing scientific papers and reports. Mandatory requirements: PhD completed in the fields of agricultural or biological sciences; practical experience in artificial intelligence
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, motivation letter (maximum of 1 page), PhD thesis or abstract, publication list, and two reference contacts (name and email). Email subject: “PostDoc SHARP WP3 Task 21 MLP Lower Mantle”. Questions may be sent
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; and proof of PhD completion. Preferably combine the documents into a single PDF. Email subject: “FAPESP Postdoctoral Fellowship Application – Applicant’s Name”. This opportunity is open to candidates
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in Skeletal Muscle: Molecular Mechanisms and Therapeutic Interventions,” in the context of studies involving the metabolism and physiology of white and/or brown adipose tissues, genetically modified
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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