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: Computer Science or Computer Engineering; • PhD: Computer Science or related fields within the last 7 years; • Knowledge of: Python, DL, CV, Transformers, LLMs, NLP; • Relevant scientific publications; • English
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transmission electron microscopy (TEM/STEM) and/or advanced image-processing techniques; proficiency in programming and in the application and development of software and computational tools for scientific data
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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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involving geological risk management, conducting field surveys in remote areas, advanced use of ArcGIS geoprocessing tools, drone image acquisition and processing, and organizing technical events or meetings
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morphological, structural, and electrochemical characterization. A research stay at Radboud University Medical Center is planned, subject to FAPESP approval of a research internship abroad (RIA ). Mandatory
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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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for general image classification tasks. We are particularly interested in applications involving weather radar imagery and medical imaging. Mandatory requirements: Ph.D. in Computer Science, Mathematics
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position within a Research Infrastructure? No Offer Description Activities: Fabrication and processing of Al-Ce-Fe and Al-Ce-La alloys using different solidification routes. Sample preparation and
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23 Jun 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Medical sciences Researcher Profile Established Researcher (R3) Application Deadline 8 Jul 2026
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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