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Systems At the Institute of Climate and Energy Research – Energy Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimising decentralised, integrated energy
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on methods, concepts, and techniques for successfully using information systems and technologies in business processes, developing new business areas, and designing such systems and technologies
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Responsibilities Conduct research in computational methods for environmental and engineering applications. Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
in RNA biology in the context of embryogenesis can be made, and to support and develop the skills and careers of lab members. English is the working language of the institute and we are building a
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include developing algorithms for ultra-fast force feedback and providing open SDKs and APIs for developers. Your Responsibilities Requirements Analysis: Assist in gathering requirements and translating
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Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimizing decentralized, integrated energy systems. These systems are characterized by the high spatial and
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modeling and simulation • Development in Finite element and alternative discretization methods (e.g. Lattice Boltzmann methods) • High-dimensional algorithms and high-performance computing
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Develop event-driven algorithms and software components for autonomous experiment control and adaptive image acquisition Build scalable, maintainable, and open-source software for high-throughput image
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Faculty of Medicine of the University of Cologne | German Cancer Research Center (DKFZ) | Gronau Westfalen, Nordrhein Westfalen | Germany | 3 months ago
research division within the NCT. You will analyze comprehensive, high-quality datasets and develop algorithms for the NCT-IIT program. In particular, machine learning methods should be developed to better
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, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking and computational problem-solving in the Earth sciences at large