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statistical/mathematical methods to analyse large data sets Comprehensive experience with HPC system usage, parallel/distributed computing, as well as diverse architectures and understanding of its impact on
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fair energy supply system based on renewable energies. We contribute to this with our research priorities of energy supply, energy distribution, energy storage and energy use. Through outstanding
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socially just energy supply system based on renewable energies. We contribute to this with our research focus on energy supply, energy distribution, energy storage and energy use. Through outstanding
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socially just energy supply system based on renewable energies. We contribute to this with our research focus on energy supply, energy distribution, energy storage and energy use. Through outstanding
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Metadata standards and ontologies Data provenance tracking API design and implementation Experience with cloud-based data infrastructure and distributed computing Our offer Opportunity to contribute
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/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
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School of Engineering and Design and maintain strong links with the computer science community. One of our key research areas is the design and operation of intelligent networked production systems
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, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable
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of Computer Science of the TUM School of Computation, Information and Technology. Responsibilities The responsibilities include research and teaching as well as the promotion of early-career scientists. We seek
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visualization techniques for both rotational and orbital dynamics. The research will address particularly Distributed Space Systems for space exploration, Earth observation, and commercial applications. Key areas