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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about
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about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized
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to circularity and sustainability in the footwear industry. Through advanced experimental work and modeling, you will help uncover how the composition of shoes will affect the circularity potential, and advice
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real-time experimental facility Assess the impact of EV charging on the energy system when delivering grid services Participate in demonstration activities with PostNord for both ePIPV and VIPS solutions
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Aarhus BSS Graduate School, Aarhus University invites applicants for a three-year PhD Scholarship focused on evaluating and selecting recipients for innovation funding, emphasising the social impact
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-year PhD positions on privacy-preserving data sharing for future energy systems. Why this PhD at DTU? Real impact: Work in close collaboration with leading Danish partners (Energinet, Enfor, Green Power
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
environment. By focusing on how cell surface receptors, glycans and glycan-binding proteins affect cellular interactions, CGR seeks to understand the influence of the glycocalyx influence on health and disease
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or potential to engage in activities with actors outside academia to enhance the impact of research In terms of teaching The position includes teaching at the Department’s educations. The employed are expected
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) frameworks - though these are not strict requirement. Most importantly, we are looking for someone eager to translate fundamental scientific knowledge into solutions with real societal impact. As a person, you
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Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips