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Field
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Research Infrastructure? No Offer Description Interested to push the technological limits of energy kites and contribute to the industrialization of a promising disruptive renewable energy technology
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impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective is to investigate the optimal
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, focusing on purpose-driven topology design (optimizing cell and module arrangement for performance) and vertical integration (seamless integration into vehicle architecture). You will create automated
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optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
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optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
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performed in two research labs: the Digital power and energy systems lab (EES DigiPES lab) and the Electricity markets and power system optimization lab (EES EMPDO lab). The former focuses on intelligent
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. This research is performed in two research labs: the Digital power and energy systems lab (EES DigiPES lab) and the Electricity markets and power system optimization lab (EES EMPDO lab). The former focuses
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FPGAs, CGRAs, and many Machine Learning accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs/GPUs. Yet, porting and optimizing code
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have proven experience in stem cell biology and advanced cell culture, ideally including work with human induced pluripotent stem cells (hiPSCs) and their differentiation into neuronal lineages
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cell types and simulate their interactions with joint tissues. You will implement and validate molecular reporter technologies to monitor neuronal activation and pain-related signaling pathways, and