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31 Oct 2025 Job Information Organisation/Company Riga Technical University Research Field Chemistry » Organic chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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cultural data. Experience with AI tools such as machine learning for sentiment analysis, data mining for social trends, or computational linguistics for linguistic analysis will be highly regarded
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
technologies to scientific research study and experiment design, big data mining and processing, algorithm development, and complex computational analysis. They have expertise in the ethical issues of using AI
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technology to track species across habitats and (iv) undertake extensive data mining from local and national databases and from partners (e.g., NatureScot, RSPB). GIS, remote sensing data and NVC habitat
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see general curricula for the Board of the faculty of science and technology Further information Employment as a PhD student is limited to 4 years, teaching and other department duties may be added with
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of Research ExperienceNone Research FieldPhysicsYears of Research ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria PhD. in analytical chemistry
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tools such as machine learning for sentiment analysis, data mining for social trends, or computational linguistics for linguistic analysis will be highly regarded. Additionally, the ability to instruct
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months 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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the University’s postgraduate research funding webpages for further information: https://www.sheffield.ac.uk/postgraduate/phd/scholarships Loans are available to eligible home fee-paying doctoral
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informatics, medical imaging analysis, AI/ML development, omics technology development, biomedical data integration and mining, translational bioinformatics, computational medicine, statistics/biostatistics