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outstanding candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex
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working in the research group “Theory and Applications of Algorithms” at the Faculty of Computer Science. The position is limited to six months and is planned to be filled from 01.10.2025. Your future tasks
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, virtual assistants, or AI-driven systems such as chatbots, recommender algorithms, or generative AI. The position focuses on how communicative processes are shaped by and shape these technologies
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group “Foundations of Cryptography” within the research group “Theory and Applications of Algorithms” at the department of Computer Science focuses on provable security of cryptographic schemes. We
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of innovative, computerized tools and algorithms for collecting, processing, analyzing and visualizing large-scale, complex data. The research area of Computational Communication Science includes, for example
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analysis of classical problems in numerical analysis in the framework of modern algorithms of machine learning. Our ideal candidate will have prior exposure to modern developments in theoretical machine
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. This task includes the development of new algorithms for cluster detection and characterization, so experience with this task on previous Gaia data releases will be a plus. You will also be responsible
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to incorporate ligand and binding site information to enable efficient and robust virtual screening. A solid understanding of deep learning methods and optimization techniques - including gradient-based algorithms