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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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computational tools to evaluate models of biological and artificial vision, as part of the DFG-funded Collaborative Research Center (CRC) “Robust Vision” at the University of Tübingen. This is a unique
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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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research focuses on the study of quantum magnetism at the atomic scale. We build artificial quantum architectures from single atoms and molecules on surfaces and on probe tips, control their spin states, and
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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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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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. 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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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
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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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/research/quantitative-single-cell-biology-of-the-immune-system-gruen-lab/ ) under Prof. Dr. D. Grün and associated with the Center for Artificial Intelligence and Data Science (CAIDAS). The applicant has