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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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high-ranking publication record in computational mass spectrometry of small and large biomolecule analysis. The candidate should have a strong background in efficient data structures and algorithms
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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
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by the teams are in particular related to theoretical analysis of classical problems in numerical analysis in the framework of modern algorithms of machine learning. Our ideal candidate will have prior