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proteomics; • Experience analyzing and integrating data generated using different omics approaches; • Knowledge of biomarker discovery and validation using mass spectrometry; • A proactive, organized approach
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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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, 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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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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qualifications include: 1. Experience in electrochemical sensors or biosensors; 2. Knowledge of voltammetric and/or electrochemical analytical techniques; 3. Experience with nanostructured materials, printed
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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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, statistical analyses (including multivariate approaches), and scientific writing. Mandatory requirements: PhD in physiology, ecology, neuroendocrinology, molecular biology, or related fields. Strong experience
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Sciences, Geography, Law, or related fields; demonstrated experience in Nature-based Solutions and climate-related research, qualitative research, and fieldwork; knowledge of semi-structured interviews