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EU programme Reference Number DNAI – Digital Narratives and Artificial Intelligence Is the Job related to staff position within a Research Infrastructure? No Offer Description Errata to the notice
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
of next generation agentic AI systems. In this PhD programme, you will redefine how the world works, learns, and discovers, turning bold ideas into tools used by millions. You will then become one
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implementation of research projects financed from national and international sources (e.g. NCN, Horizon Europe, ESA). Specific Requirements Research experience in computer science, artificial intelligence, machine
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, information science, criminology or media and communication studies and who have training in quantitative methods (e.g., regressions, non-parametric, parametric tests, Structural Equation Modelling) and/or qualitative
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developments in artificial intelligence tools and technologies are blurring the lines between human and computer generated. In the last few years, we’ve seen a number of online avatars used by various companies
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6 Nov 2025 Job Information Organisation/Company University of Bergen Research Field Computer science Information science Researcher Profile Recognised Researcher (R2) Positions Research Support
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an interest (or prior experience) in computational intelligence, AI and/or agent-based modeling techniques. He or she will work closely with researchers in the Electrical Engineering department at TU Eindhoven
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17 Oct 2025 Job Information Organisation/Company Universitat Politècnica de València Research Field Computer science Engineering Technology Researcher Profile First Stage Researcher (R1) Positions
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One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and