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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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. 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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) and supervised by Prof. Diogo Rosenthal Coutinho from USP's Law School (FD). The fellowship aims to develop a methodology to identify and systematize legal risks in eviction processes, mapping legal
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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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Date: April 2026. Application Process: Applications must be submitted between January 25 and February 10, 2026, to the email pereira.filho@unifesp.br with the subject line “PD Application”. Required
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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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autonomic control and cognition, with the potential to advance preventive and therapeutic strategies for neurodegenerative diseases. Applicants must hold a PhD in Physiology, Pharmacology, Neuroscience
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dissection, and image and illustration editing, as well as experience and availability for fieldwork. Applications should be sent to einicker@usp.br by 15 February 2026, including a motivation letter, one
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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