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Field
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team has the goal to enhance the lives of children and their families by supporting technology use in ways which are beneficial to children’s physical health. We are offering PhD scholarships funded by
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. Successful candidates should have the ability to teach courses in data analytics such as data mining, machining/deep learning, predictive analytics, analytics programming and data visualization; and will
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. Qualifications Completed or soon-to-be-completed PhD in Data Science, Network Science, Computational Social Science or related fields. Solid knowledge in network and Data Science, programming in Python or R, and
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: ● PhD degree in biological sciences, computational disciplines, or a related field within the last three years. ● Record of productivity supported by peer-reviewed publications in internationally
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, environmental protection, or related fields, • PhD in environmental engineering or environmental engineering, mining, and energy, • Experience in research and implementation projects is a plus, • Ability to work
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8 Jul 2026 Job Information Organisation/Company Université de Bordeaux / University of Bordeaux Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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of enabling environments and CS&SE practices. Applying data-driven scientometric methodologies to mine existing open scientific databases (OpenAlex, Crossref, ORCID, OpenAIRE, DANS, DataCite, NWO Dataportaal
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of mineral resources in Saudi Arabia by developing innovative approaches to mineral exploration, mining, and mineral processing. The working group will initially consist of 1 PhD student and 2 MSc students
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(SATURN CDT) Developing advanced cementitious sealing materials for deep borehole disposal of high-level nuclear waste School of Chemical, Materials and Biological Engineering PhD Research Project
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technologies in education: Artificial Intelligence in Education Learning analytics, data science, and educational data mining Machine learning applications in educational contexts Technology-enhanced learning