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academic experience will be requested to finalize the process and grant the fellowship. Failure to present these documents when requested will result in elimination from the selection process. 2 Candidate
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28 Feb 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Engineering Researcher Profile Established Researcher (R3) Application Deadline 15 Mar 2026 - 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job...
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Science, Computer Engineering, or a related field, completed before the fellowship start date. Candidates should demonstrate experience in at least two of the following areas: compilers, parallel programming
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(parallelization, efficient data structures), numerical testing, and results analysis. Familiarity with numerical methods, scientific programming in C++, and an interest in reservoir engineering problems
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. This study focuses on the features related to the transformation from gas to particle, the gas clustering processes, and condensation growing up to coagulation and scavenging, as well as on the aerosol and
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on performance. Selection Process and Application: Candidates must submit their application materials to mcfjr@unicamp.br by April 05, 2026, using “PD Fellowship Application” as the subject line. The required
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to staff position within a Research Infrastructure? No Offer Description The Laboratory for High-Pressure Technology and Natural Products (LTAPPN/ZEA) and the Equine Clinical Practice, Surgery and
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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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professional experience; • Letter of recommendation (optional). Application process: • Prepare an email to andbergs@usp.br ; • Include “Application for [PD2/HIDROSIS]” in the subject line; • Gather all required
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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