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at: https://forms.gle/qxf5vo5kKmf9sBNV7 . Mandatory requirements: Bachelor’s degree in Biological Sciences and a PhD in Biotechnology, either completed or with the defense scheduled before the start of
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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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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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, microstructure, and properties. Data analysis and preparation of scientific papers, reports, and conference contributions. Mandatory requirements: PhD in Materials Engineering, Metallurgical Engineering, or
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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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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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of recommendation (maximum of 2 pages); undergraduate diploma; PhD diploma, statement of completion, or statement indicating the scheduled defense date. Infos: [email protected] . Where to apply Website http
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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