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scientific and technological dissemination activities. Mandatory requirements: PhD in Materials Science and Engineering, Mechanical Engineering, Chemical Engineering, or related fields. Preference will be
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, including the use of resources such as audio description, tactile materials, and assistive technologies. Mandatory requirements: Applicants must have completed their PhD within the last seven years and be
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original research, contributing to project management and to international academic debates on AI and technological governance. Mandatory requirements Applicants must: • Hold a PhD obtained within the last 7
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skills; (IV) Recommendation letter from the PhD advisor (no other letter will be accepted). This opportunity is open to candidates of any nationality. The selected candidate will receive a FAPESP Post
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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Immunodeficiencies), Faculty of Medicine (FM), University of São Paulo (USP), under the supervision of Prof. Dr. Maria Notomi Sato. Requirements: PhD in Immunology or a related field. Knowledge of virology, cellular
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must be sent to sinbelangero@gmail.com , with a copy to pgtunifesp@gmail.com , with the subject line: “Application for PD Fellowship - BHRC - Name + Surname.” Requirements: PhD in health or biological
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requirements: The candidate must have obtained their PhD within the last 7 (seven) years, counted from the start date of the fellowship, and have experience in remote sensing applied to agriculture and/or
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to staff position within a Research Infrastructure? No Offer Description What we are mainly looking for (selection criteria can be found in the position description) • PhD in aquaculture, environmental
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). Candidates must meet the following requirements: - PhD in Computer Science; - Experience in research on the use of AI to recommend code refactoring opportunities; - Experience with data analysis and data