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. The project "Explainable Artificial Intelligence and Credibility in Asylum Decision-making (XAI-CRED)" is led by AI Professor Thomas B. Moeslund, Aalborg University, and Law Professor Thomas Gammeltoft-Hansen
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processes (e.g., application content, assessments committees’ refiguration and process) and 2) the outcome of evaluation and selection for diverse participants. The research will leverage artificial
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readiness levels. Additionally, your work will directly support the FAIR-AI flagship project for the Austrian Artificial Intelligence Mission AIM 2030, ensuring your research generalises and gains high
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Supervisor’s full name & email address Dr Yixue Shen: Y.Shen1@leeds.ac.uk Co-supervisor name & email address Professor Christine Unterhitzenberger: C.Unterhitzenberger@leeds.ac.uk Project summary Artificial
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. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence
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will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an active, dynamic research group that combines bold research and a collaborative spirit. The
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to introduce decision making into artificial materials for applications in areas such as soft robotics and MedTech. This project is supported by a European Research Council Starting Grant awarded to Dr. Oliver
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Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial
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strongly believe a healthy work-life balance is the key to our research excellence. Please visit our website for a letter to prospective students. Project description Artificial Intelligence (AI) has
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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and