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for innovative energy device integrations (proton/aqueous metal batteries, fuel cells, and reverse osmotic power generators), where the merits of ultrathin precision 2DHMs will result in the highest selectivity
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personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes following courses
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Materials and Catalysis team consists of 6 scientific staff members (2 full professors, 3 assistant professors, one research fellow), 4 supporting staff members, ~25 PhD students and postdoctoral research
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including Format Preserving Encryption (FPE), Multi-Party Computation (MPC), Homomorphic Encryption (HE), and Zero-Knowledge (ZK). These applications are usually defined over prime finite fields, and more
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staff members (2 full professors, 3 assistant professors, one research fellow), 4 supporting staff members, ~25 PhD students and postdoctoral research fellows as well as master and bachelor students. We
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for synthetic genomes. This project will be performed in tight collaboration with another PhD candidate, a postdoctoral fellow and a technician who will establish a mid-throughput pipeline combining in vitro and
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Circulation (AMOC) and the Amazon rainforest play important roles in the Earth’s climate system. Both of these subsystems have been marked as tipping elements and global climate change seems to push both
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deglaciation phases. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes
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vibrational Non-Destructive Testing (NDT) methodology for quality assurance in metal AM. By going beyond the state-of-the-art, we aim to optimize AM benefits, particularly for complex geometries. Insights
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for quality assurance in metal AM. By going beyond the state-of-the-art, we aim to optimize AM benefits, particularly for complex geometries. Insights gained will enhance the understanding of AM variability