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to staff position within a Research Infrastructure? No Offer Description Activities and context: Two 18-month post-doctoral fellowships in AI applied to industrial processes, within a research project
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advanced correlative microscopy techniques, combining coherent X-ray diffraction imaging (CXDI) and STED super-resolution microscopy. The researcher will: • Develop new multimodal imaging strategies; • Work
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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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computing, obtained within a maximum of 7 years; application of machine learning and deep learning methods to remote sensing images; proficiency in programming (R, Python, or similar); ability to work
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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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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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experience in image-based phenotyping, artificial intelligence applied to grapevine breeding, genome-wide association studies (GWAS), genomic selection (GS), and statistical analysis. Mandatory requirements
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on the following link: https://candidaturas.impa.br/eventos/561/inscricao For English language, click on the “EN” icon on the right-hand upper corner. For questions, please send message to: [email protected]
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viral vectors, cell culture, flow cytometry, and recombinant protein production is required. The candidate must have technical proficiency in mass spectrometry data analysis, large-scale data processing
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activities at IMPA between January and September 2027. To submit your application, click on the following link: https://candidaturas.impa.br/eventos/562/inscricao For English language, click on the “EN” icon