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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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, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit
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develop the enrollment numbers to our BBA program across Brazil and the Southern-Cone. You will be required to coach and mentor the team, provide benchmarks and goals and to ensure processes are followed
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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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. The entire process must be supported by Artificial Intelligence technologies and should also encompass explainability techniques. The fellow will carry out research within the scope of the Science Center
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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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Letter (2 pages); c. Three professional references. Selection process in English. The fellow will be based at EMBRAPA Instrumentation in São Carlos, São Paulo state, Brazil. EMBRAPA Instrumentation is one
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presentations. The topics of the selection process (“concurso”) are as follows: 1. Protein structure and function 2. Enzymes 3. Biological Membranes and Transport 4. Carbohydrate and lipid metabolism 5. Protein
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identifying systemic events in the Brazilian Interconnected Power System (SIN). In addition, the project proposes the development of a processing and graphical visualization platform based on Grafana, enabling
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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