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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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analyzed with various Machine Learning and Data Science techniques to assess the dynamics involving case processing and costs. The first phase of the research will organize general data from the lawsuits
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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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and computer programming skills. The objective of this research is failure and damage detection in the petroleum artificial lift process using the operational data signal analysis (time series analysis
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machine learning (ML) algorithms to identify previously unknown correlations between synthesis parameters (inputs) and optical, electronic and chemical properties (outputs), such as quantum yield, light
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motivation letter (up to 2 pages) and a CV. For more information, visit: https://pages.cnpem.br/cepidcemol/oportunidades/ . This opportunity is open to candidates of any nationality. The selected candidate
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Discrete Dynamical Systems. The positions are for a period of two years, with the possibility of extension. The selected candidates will join a Thematic Project (project webpage: https://teqsd.ime.unicamp.br
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). The position offers the opportunity to interact with international collaborators and industry partners. The fellow is expected to explore and design solutions based on machine learning (ML), as well as the use
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, indicating in the subject “CEPID Postdoc Innovation,” “CEPID Postdoc Business Practices” or “CEPID Postdoc Marketing and Consumer Behavior”. More information: https://eaesp.fgv.br/en/news/call-applications
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description, please see https://deims.lter.peld-pecj.ib.unicamp.br/GMBA%20LAC . Please send your application documents listed below as a single pdf file by email to Davnah Urbach at gmba.ips@unibe.ch : 1. A 2