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visibility through scientific publications, research projects and international collaboration. The position also contributes to teaching, the supervision of emerging researchers and the dissemination
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international visibility through scientific publications, research projects and international collaboration. The position also contributes to teaching, the supervision of emerging researchers and the
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visibility through scientific publications, research projects and international collaboration. The position also contributes to teaching, the supervision of emerging researchers and the dissemination
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data and archaeological signatures (e.g., circular mounds, linear ditches, rectangular foundations, etc.) tailored for AI applications – Feature engineering and representation learning to enhance
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capacities for dialogue, disagreement, collaboration, and peaceful conflict engagement in diverse and often polarized environments. A central component of the PhD project will be the comparative mapping
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will have the opportunity to collaborate closely with external partners, including organisations in digital learning and the charity sector. The PhD position is fully funded for the duration of four
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students to analysing multimodal learning data (e.g., individual as well as collaborative verbal interactions, student gestures, task and activity sequences) and evaluating long-term learning outcomes. As
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collaborative research projects, including but not limited to: • Developing and applying bioinformatics, pharmacogenomics, AI, machine learning, and deep learning methods • Analyzing and integrating large-scale
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) Limited until: 30.09.2029 Reference no.: 6194 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our
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project in a collaborative research environment and to gain experience in a broad range of state-of-the-art experimental approaches. INFORMATION ABOUT THE RESEARCH PROJECT α2δ proteins are abundantly