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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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network spanning materials science, AI, and computational imaging. Submission is possible until: 17 October 2025 Requirements Master’s degree in Computer Science, Materials Science, Physics, Mathematics
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within the Theory and Modelling for Organic Electronics unit in the group led by Associate Professor Glib Baryshnikov . You will have access to the supercomputing resources provided by Linköping
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cent of full-time. Your qualifications You have graduated at Master’s level in Computer Science, Materials Science, Physics, Mathematics, or a related disciplines, or completed courses with a minimum of
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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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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
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corresponding knowledge in another way. A successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms