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well as to the geometric optimization of the separator, including the swirl generator. Mandatory requirements PhD in mechanical, naval or aerospace engineering, or a related field. Proven experience in numerical simulation
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to industry and developments with Deep Learning (DL), Computer Vision (CV), Transformers, Large Language Models (LLMs), Natural Language Processing (NLP). Mandatory requirements • Bachelor's degree
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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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feed, in collaboration with the multidisciplinary team of the Thematic Project funded by FAPESP through grant number 2021/08152-0 . Mandatory requirements: PhD obtained within the past 7 years in
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. Strong written and oral communication skills in English and the ability to work independently within a collaborative research team are essential. How to apply Interested candidates should submit
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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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sepsis, with a focus on neuroimmune and interorgan communication. Mandatory requirements The successful candidate will have: • Extensive experience with bioinformatics (the analysis of bulk and single-cell
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the mechanisms of immune regulation in sepsis, with a focus on neuroimmune and interorgan communication. It is also desirable for the candidate to have a strong interest in modelling gene regulatory
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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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• PhD degree awarded within the last seven years, preferably in Sociology, Anthropology, Social Sciences, Public Health, or related fields; • Demonstrated research experience in ethnic-racial issues in