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Field
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, and make accessible the rich archival legacy of teacher education in Lleida during the 19th and 20th centuries. The PhD research line focuses on the design of a Public History digital archive targeted
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be tasked with finely characterizing the structure of the building blocks of these polymers, their modifications, and their interactions using advanced analytical and physicochemical techniques: liquid
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on your background, the work will 1) focus on the interaction between microwave design and measurement methods, looking deep into the technological capabilities of GaN, or 2) focus on new methods
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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on molten salt electrolysis for sustainable iron production. Iron ore interactions with molten salts for electrolytic iron-making Supervisory team: Dr Jessica Allen (50%), Dr SImin Moradmand (25%), Associate
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protective antibody repertoires at high resolution. This detailed information on protective antibody responses is subsequently used to structurally characterize conserved epitopes and to facilitate the design
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. Accepted candidates are expected to enrol at UBC and be primarily based in Vancouver (Canada), though candidates will interact with national and international collaborators.The general aim of the research
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | 7 days ago
functions is urgently needed to identify environmental impacts, develop future scenarios and provide policy advice. While the complexity of the interactions call for the use of Machine Learning (ML
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control. This project aims to characterize the cellular disease mechanisms for SNAREopathies, especially for the most prevalent group (mutations in STXBP1), and to design intervention strategies. Our
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, and drug discovery? We are excited to offer a PhD position tailored for a motivated candidate eager to push the boundaries of structure-based drug design using cutting-edge machine learning techniques