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09.07.2025 Application deadline: 06.08.2025 The Tübingen AI Center—a leading national hub for artificial intelligence research at the University of Tübingen—is inviting applications for a Parental
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-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
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research, teaching and healthcare. The scientific focus should be in the fields of dental prosthetics (including implant prosthetics, artificial intelligence and virtual reality), functional diagnostics and
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project, we are currently looking for a student who will analyze companies in the semiconductor industry using Generative Artificial Intelligence (GenAI) as part of a scientific thesis (Bachelor's or
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tools? This research area sits at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Software Engineering (SE). The goal is to design and evaluate new interaction
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. We are playing a decisive role in shaping far-reaching processes of global change—from energy transition to artificial intelligence—through outstanding scientific knowledge and innovative academic
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Computer Science, Artificial Intelligence, Materials Science, or a related field Strong programming skills in Python, ideally with experience in image processing and deep learning using PyTorch or similar frameworks
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represent a bioinformatics research topic in research and teaching, using innovative methods such as new approaches for single-cell analyses, the use of artificial intelligence, innovative statistical methods
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and