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. The fellowship candidate must hold a Ph.D. in Agricultural Engineering or related fields, with expertise in irrigation, remote sensing, image processing, and precision agriculture. Experience in programming
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. Duration The fellowship is granted for 36 months. 4. Eligibility and Requirements • PhD obtained within the last 4 years or by May 31st; • Background in IR image analysis and experimental phase change
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-industrial residues from Brazil and Chile. The candidate must hold a PhD in Biotechnology, Pharmacy, Food/Chemical/Bioprocess Engineering, or related fields. Proven expertise is expected in chromatographic
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configurations hinders the creation of generalizable solutions for processing these images. This project proposes an innovative approach that combines state-of-the-art diffusion models with physical radar
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fundamental radar wave propagation equations into the diffusion process, allowing for more accurate and physically consistent image restoration. The developed framework will be able to transfer knowledge
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expenses Duration: 36 months, with the possibility of an international exchange period Workload: Full-time (40 hours per week) Expected start date: April 2026 Requirements: • PhD in Chemical Engineering
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policies that promote forest systems resilient to environmental stresses. Requirements: • PhD in Forest Engineering, Agronomic Engineering, or related areas; • Experience in multifunctional forests and
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. Create predictive algorithms for the occurrence of cyanobacteria blooms; 3. Support field activities, process large volumes of data, and contribute to scientific publications. Requirements: • PhD in areas
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expertise in advanced immunology, histology, flow cytometry, confocal microscopy and image analysis techniques. Experience in different national and international laboratories is a positive aspect to be
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expertise in advanced immunology, histology, flow cytometry, confocal microscopy and image analysis techniques. Experience in different national and international laboratories is a positive aspect to be