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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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techniques for the development of wearable devices capable of detecting plant health markers and analytes of agricultural interest. Candidates must hold a PhD degree in Chemistry, Materials Science, or related
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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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projects with tangible outputs; programming skills; operation and planning of electric power distribution networks; and database management. Recently graduated PhD holders are preferred. Application Process
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-processes/ More information about the fellowship is at: fapesp.br/oportunidades/8962 . Where to apply Website http://www.fapesp.br/oportunidades/8962 Requirements Additional Information Eligibility criteria
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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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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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of the email should be “PostDoc CBD photometry”. Applicants should be close to completing their PhD or have obtained their doctoral degree within the last seven years. Shortlisted candidates will be