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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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processes: cure instead of care. The scientific community has made large steps in this direction over the past decade, however, our understanding of the fundamentals of cell, tissue and organ regeneration and