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variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems from real applications and implement novel robot solutions
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technologies. Responsibilities and qualifications The PhD project will focus on the design, synthesis, and characterization of new types of metal-organic network structures, which includes the detailed
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material characterization, material flow analysis and material recycling. This PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed
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travel in cities as well as improved well-being of travellers. You will work within the European research project NextLogic - Next-Gen urban freight logistics for net zero emissions through innovative
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to the development of a sustainable blue bioeconomy, robust aquatic ecosystems, and reduced effects of climate change. We have a large national and international network and cooperate with research partners, public
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research projects and environmental exchange as part of the PhD education. Opportunity to interact with a wider network of national and international collaborators. Opportunity to develop your own ideas
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months at the Technical University of Munich (Germany), gaining international research experience and expanding your collaborative network. As part of your research, you will: Design responsive-switchable
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, take a 4-6 month external research stay, and grow a network across academia, system operators, and industry. Context and motivation The green energy transition is increasingly digital: it relies
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for brain signal acquisition Implementing an on-chip neuromorphic processor with a spike encoder and spiking neural network Developing a low-power spike-based transmitter. Setting up measurement systems and
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’ willingness and ability to adopt the green energy innovations that are essential to achieving a net-zero society. SMEs’ adoption of clean energy technologies is critical to the green transition. Yet, high costs