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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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stocks and fluxes, and in the organization and integration of large ecological datasets. Proven track record of publications in international peer-reviewed journals. Ability to work collaboratively in
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less than 7 years ago. Desirable requirements: - Proficiency in the R programming language; - Ability to read French; - Familiarity with the main Brazilian and São Paulo State statistical databases. How
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the environment, including: i) Knowledge of programming languages (e.g., Python and/or R); ii) Ability to work in an interdisciplinary team; iii) Good oral and written communication skills; iv) Strong
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simulation (Aspen Plus®); - Experimental experience in reaction systems and process intensification; - Ability to integrate modeling, experimental validation, and techno-economic analysis; - Experience in
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; - Availability for full-time dedication; - Proven ability in scientific communication in English and clinical communication in Portuguese; - International experience or availability and interest in academic
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, PRS, pathway analysis, or Mendelian randomization) and statistical analyses in R or Python; the candidate must have programming skills, ability to handle large datasets, experience in scientific
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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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, analyzing how these movements position themselves within power relations and climate action networks, articulating knowledge, subjectivities, and public policies. The post-doctoral researcher will adopt
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Python and R; - Demonstrable experience with Machine Learning; - Excellent problem-solving skills and the ability to work both independently and as part of a team. This position is for full-time, on-site