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Field
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anharmonic DFT calculations of PAHs available in the team You will implement neural networks based on PAH molecular structure to predict their anharmonic spectrum You will test the accuracy of topological
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prestigious partner universities and networks, we are truly an international place of knowledge. At the University of Groningen, Faculty of Spatial Sciences (FSS) has a strong position in geography, demography
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/GPUs. These devices provide massive spatial parallelism and are well-suited for dataflow programming paradigms. However, optimizing and porting code efficiently to these architectures remains a key
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straining electricity grids, which are further challenged by the variability of renewables. Expanding grid capacity is both costly and slow. District heating and cooling networks (DHCNs) offer a smarter, more
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. Fluency in Dutch is not required. Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work
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of porous electrodes, advanced imaging and characterization, and validation in electrochemical cells. Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by
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to cascading hazards, particularly NaTech (Natural Hazard Triggering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network that aims to educate and train the new
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universities and networks worldwide to become a truly global centre of knowledge. The Faculty of Law of the University of Groningen is a modern institution with a longstanding tradition of more than four
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advisory roles. A network in or understanding of the Dutch innovation ecosystem. Strong interpersonal and communication skills to work with researchers and external stakeholders alike. Work environment AMOLF
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reconstructing first-person experiences and social networks. The project scrutinizes the blurred boundaries and competing aims we now see between journalism, as a public service institution guided by civic values