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interaction and/or web programming, and human-computer interaction is required. Experience and/or knowledge of semantic web technologies, such as ontologies and semantic web standards, as well as graph data and
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, as well as graph data and knowledge graphs, and circular economy and DPPs is preferential. Documented experience of writing and publishing research papers, communicating research results at conferences
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approximately 30 places. The department strives for an approach that encourages and promotes the use of theories and models drawn not only from traditional social sciences, but also from, for example
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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topics include synthesis, material science, theory and modeling, device physics, nanotechnology, biotechnology and system design, and span the range from basic research to commercialization. LOE currently