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the 2D plane is a long-studied problem in robotics resulting in a broad spectrum of feasible methods and algorithms. However, performance relies heavily on the problem itself, the robot, the environment
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of algorithms to control various types of systems. Starting from low energy applications like electronics and drive systems, via (large-scale) robotics to heavy industrial applications. We are working in projects
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research results and in collaboration with end users and our customers. The focus of our applications is on safety-relevant sensor systems for railways and roads.
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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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processes by reducing waste, product failures and emissions. Our Competence Unit Complex Dynamical Systems focuses on the development and deployment of algorithms to control various types of systems
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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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and testing, test design with DoE or ML methods, battery cell-to-system integration, battery monitoring and control (including sensors’ data processing). The candidate is expected to describe in his/her