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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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staff position within a Research Infrastructure? No Offer Description Post-doctoral researcher with a background in Engineering, familiar with mechanical equipment, signal processing, statistical analysis
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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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% of the annual value of the fellowship. Duration: 24 (twenty-four) months. Selection process: Send the documents listed below, grouped into a single PDF, to the email address labproj-fau@usp.br (subject: “PD
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% of the annual value of the fellowship. Duration: 24 (twenty-four) months. Selection process: Send the documents listed below, grouped into a single PDF, to the email address labproj-fau@usp.br (subject: “PD
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staff position within a Research Infrastructure? No Offer Description Post-doctoral fellowship in the research project "Plant available water in Brazilian soils: assessment of its lower limit by a process
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on 02/06/2026. Activities: planning and executing molecular biology strategies; processing and analyzing DNA sequencing data (quality control, alignment, variant identification/annotation); applying
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stability, and regularization processes. Vacancy 2 – Discrete Dynamical Systems: symbolic dynamics, topological dynamics, ergodic theory, dynamics and number theory. To apply, interested candidates should
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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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process of pharmaceutical formulations for clinical trials in humans with ulcerative colitis. Requirements – The ideal candidates will have a doctoral degree in Pharmacology or in closely related scientific