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Institute of Advanced Studies of the University of São Paulo (IEA-USP) | Brazil | about 2 months ago
of graphs and summaries of descriptive statistics in spreadsheets and other similar software;Desirable proficiency and experience in programming crawlers for jurisprudential data mining (text mining);Ability
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 21 days ago
: Experience with learning analytics, educational data mining, or education research Knowledge of cognitive science, learning theories, or pedagogical design principles Familiarity with ITS architectures
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to Search Laboratory Coordinator, School of Mining Engineering and Mineral Resources (Part-time) Posting Number req23949 Department Sch Mining Engr Mineral Res Department Website Link https
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secure power. For more information about ARPA-E visit https://arpa-e.energy.gov/. Stipends The DOE Scholars Program provides stipends starting at $1,000 per week for graduate students and recent graduates
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14 Nov 2025 Job Information Organisation/Company University of Porto Department Human Resources Department Research Field Sociology Researcher Profile First Stage Researcher (R1) Positions Master
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the National Centre for Text Mining (NaCTeM), a leading UK research hub for biomedical text mining and natural language processing, and forms part of the BHF CRE. This position focuses on advancing large
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(we are a leading member of the Project MinE consortium; https://projectmine.com/) . All of these areas of expertise are represented within the MND group providing significant opportunity
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Data mining / machine learning Mobile app development Linux programming Web programming MS Excel and intro to data analysis Intro to Website Development (HTML & CSS) Candidates with a master's degree or
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Science (see https://taltech.ee/en/department-of-software-science ) at the School of Information Technologies of Tallinn University of Technology (TalTech). The position is supported by the strategic
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the Internal Project, under the following conditions: Scientific area: Digital Transformation by Process Management and Process Mining Recipients: Graduates in Computer Engineering and related areas Duration