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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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&D infrastructure, with 22,300 m² of laboratory space, enables cutting-edge research at an international level. Be part of change In our group 'Power Converter Units', we research and develop novel
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The »Digital Business« research group at the Fraunhofer Institute for Industrial Engineering IAO works on national and international research, development, and consulting projects to harness
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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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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with
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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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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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in the laboratory Document and evaluate experimental and simulation results Develop and validate machine learning and deep learning algorithms for photonic sensing applications What you contribute
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and evaluation of innovative data-driven and Machine Learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop novel optimization
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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