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demonstrated experimental realizations and proven theoretical advantages. The project may involve several aspects, including mathematical theory, algorithm development, error correction, adaptation of GBS-based
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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(entities) given the rules and the rules given the molecules. The aim of this project is to develop a theory and accompanying algorithms to decide if an abstract system can be instantiated by a concrete
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protein-based solutions for sustainable development. Responsibilities and qualifications The overall role of the position is to lead and drive an innovative research group focused on developing cutting-edge
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on development of novel methods involving organic chemistry, transition-metal catalysis, photocatalysis, enantioselective catalysis, and C-H functionalization as well as reaction mechanism elucidation
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/research/research-groups/ruminant-nutrition . Tasks Development of analytical protocols for bromine and iodine using ICP-MS Hands-on experience with analytical equipment such as ICP-MS and GC-MS/LC-MS
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researcher You will develop analytical methods to quantify the individual vitamers, as well as precursor and degradation products. You will evaluate content of vitamins and nutrient during processing with
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be for you. At the DTU National Food Institute we want to be at the very forefront of research in the development of new sustainable technologies for new food ingredients and food products
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. The position opens to a wide field of collaboration with research institutions, competent authorities, and other stakeholders ensures a comprehensive approach. The goal is to develop a better understanding of
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candidate, who will contribute to the development and implementation of the theory, and to applications in secure compilation. Further details on the planned research are summarized in the technical part of