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the Nordic region and municipality/industry partners on real use cases for e-health solutions conducting research in software systems, distributed systems, network technologies and advanced data analysis
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Description New technologies in electrical distribution networks. • design of new components for medium-voltage distribution systems, with a focus on special transformers and power semiconductor technologies
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Electric motors and the systems they drive consume half of global electricity. These systems are typically very inefficient and contribute to a significant amount of energy wasted. By physically
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PhD Student (f/m/d) | Engineering Crystallization and Precipitation Processes for Biopharmaceuticals
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 3 days agoEngineering (Dr. Leif-Thore Deck) at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg , Germany. The position is to be filled as soon as possible and is limited to four years
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Electric motors and the systems they drive consume half of global electricity. These systems are typically very inefficient and contribute to a significant amount of energy wasted. By physically
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high-performance applications. The project brings together materials science, powder technology, additive manufacturing, and data science. Silicon carbide is widely used in demanding thermal, structural
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lifespan of geothermal systems depend on the subsurface distribution of heat, fluid flow pathways, and recharge mechanisms and fluid chemical composition. These factors control the precipitation, dissolution
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Computing Systems (PCS) group at the University of Amsterdam performs research on the design, programming and run-time management of parallel and distributed computer systems. The modeling, analysis and
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theoretical and computational research on dynamic game theory and multi-agent optimization for uncertain systems. By building on tools from distributed optimization, convex-monotone game theory, and hybrid
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scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing predictive performance, generalisation