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WaterWeave project, which focuses on innovative solutions for monitoring and the sustainable management of water resources. The fellow will develop machine learning and cloud computing techniques to estimate
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of photoelectrochemical performance. Requirements: PhD in Physics, Chemistry, Materials Engineering, or related fields; experience in semiconductor characterization and electrochemical measurements; proficiency in English
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: This project is related to machine learning for Urban Informatics. In this context, the intersection between the urban infrastructure and digital technologies plays an essential role. The aim is to develop
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ago, in Chemical Engineering or related fields. Desired qualifications include: experience with lignin, new solvents (deep eutectic solvents – DES or ionic liquids), determination of phase equilibrium
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the possibility of extension. We are looking for PhDs in Mathematics, with experience in Hyperbolic Partial Differential Equations (PDEs), or more in general, evolution equation in the sense of Petrowsky, and who
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“Multiprofessional Center for Paralympic and Parasport Studies (CMEPP): Health, Education, High Performance, and Technology”, one of the Science Centers for Development (SCDs) supported by FAPESP. Prerequisites: • PhD
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to 36, require full-time dedication and in-person activities at FGV EAESP, including participation in RIDC initiatives and scientific output. Applicants must hold a PhD (any nationality), according
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qualifications: a) PhD degree completed in Nutrition, Food Science, or a related field; b) Proven experience with Eye-Tracking studies, including proficiency with the Experiment Builder software. This experience
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.” Supervisor: Prof. Dr. Mariá C. V. Nascimento – IEC/ITA Selection will be based on candidates’ CVs and potential contributions to the project and associated Thematic Project. Candidates must hold a PhD in
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staff position within a Research Infrastructure? No Offer Description We are looking for a PhD in Chemistry, Chemical Engineering, or Petroleum Engineering to join a postdoctoral project focused on