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resources are used to develop empirically founded theories of multimodal communication in the domain of everyday cultural artefacts. The data studied in the project includes, for example, school textbooks
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combinations of multiple ‘modes’ of expression. These methods and resources are used to develop empirically founded theories of multimodal communication in the domain of everyday cultural artefacts. The data
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and machine learning. We focus on inductive logic programming (ILP), a form of inductive program synthesis which learns logical rules from data. The focus of this position is to develop ILP/program
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and education environment for atmospheric and Earth system science and to feed in scientific results for the national and international environment and climate policy. It performs multiscale research
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social sciences in the University of Helsinki. INAR aims to strengthen the internationally leading, integrated multidisciplinary research and education environment for atmospheric and Earth system science
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. *** The Department of Computer Science is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The main research fields
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. The work provides the possibility to develop skills in microbiology, data analysis, bioinformatics and molecular dating methods in an international and multidisciplinary setting and gain a competitive
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6 Jan 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Educational sciences History Philosophy Religious sciences Researcher Profile Recognised Researcher (R2
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knowledge, the goal is to elucidate bacterial genetic evolution that was shaped by human influence and make predictions to the future. The work provides the possibility to develop skills in microbiology, data
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function. IMMENs will develop novel experimental approaches to uncover the mechanisms and therapeutic potential of lymphatic endothelial immunomodulation in homeostasis, inflammation and tumorigenesis using