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17.10.2025, Wissenschaftliches Personal Are you passionate about generative AI and digital twins for intelligent mobility systems? Do you see potential in using large language models, vision
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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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Deadline 7 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week Less than 35 Offer Starting Date 15 Nov 2025 Is the job funded through the EU Research Framework Programme
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research in a variety of areas in biology and computation, with possible specializations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial intelligence
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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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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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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports
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research-oriented internships in the industry What we ask of you Completed or soon-to-be completed MSc in Computer Security, Computer Science, Artificial Intelligence, Mathematics, Computer Engineering
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systems modeling, or an [electrical] engineering background, but with an interest (or prior experience) in computational intelligence, AI and/or agent-based modeling techniques. He or she will work closely