17 embedded-system-"https:"-"https:"-"https:" PhD positions at Forschungszentrum Jülich
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The increasing digitalization of modern energy systems, together with the large-scale integration of renewable energy sources and distributed energy resources, is generating unprecedented volumes
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months at HPE Belgium (Brussel), SpiNNcloud Systems GmbH (Dresden), and Technical University Ilmenau (Germany). There will also be regular meetings with the other 14 Ph.D. students in the doctoral network
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Association is Germany's largest scientific organisation. Where to apply Website https://recruiting.fz-juelich.de/jobposting/ae3f7e56e94d1f1b3f0c1af9faa19fd61d6… Requirements Additional Information Website
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The Einstein Telescope is a next-generation research infrastructure currently in development, featuring a large-scale computing center whose energy demands present a unique opportunity: to develop
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The PhD project is methodologically independent and embedded in a multidisciplinary research environment at the interface of artificial intelligence, scientific imaging, and materials research. You
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-based research indicators. The main use case for assessing the quality of publications is to improve the reliability of literature-derived data in our technology database. Ensuring the quality
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The field of active matter is represented by systems made up of individual units that consume energy to generate motion or mechanical forces, causing the system to organize and behave collectively
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The current transition of energy production from combustion to renewables sources, is changing the emissions of air pollutants from anthropogenic activities. While this shift is expected to improve
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High-temperature electrolysis (HTEL) offers the highest efficiency of all known water electrolysis technologies. However, compared to low-temperature electrolysis technologies, it is still at a
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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