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of gene regulatory networks in various cell types. The research will leverage a large in-house dataset from iCAN, complemented by publicly available data. These efforts aim to uncover in more detail
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for an expert in quantitative methods and data analytics. The position involves designing and conducting research utilizing regional big data. The primary task is to develop the field of regional data analytics
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coordinates multiple large-scale research projects and globally unique data resources, such as FinnGen , nationwide health registry data and the Finnish Twin Study and leads the molecular profiling of cancer
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the modeling of both shared and data type-specific variability. By doing so, it provides insights into the regulatory mechanisms underlying cancer. The research will leverage a large in-house dataset from iCAN
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for an expert in quantitative methods and data analytics. The position involves designing and conducting research utilizing regional big data. The primary task is to develop the field of regional data analytics
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efficacy testing using AI-driven approaches to identify promising drug candidates from large chemical libraries. (Retro)synthesis planning using AI to propose feasible synthetic routes for candidate
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and curiosity-driven working culture. Research activities are carried out in research groups organised into three multidisciplinary research programmes. For further information please visit https
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and curiosity-driven working culture. Research activities are carried out in research groups organised into three multidisciplinary research programmes. For further information please visit https
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with publications appearing in top-tier venues (e.g., Linguistics, Language Learning, Research on Language and Social Interaction, Big Data & Society). Applicants with publications in a closely related
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students. The Department of Physics (Faculty of Science ) is a large and multidisciplinary department that offers the most varied university programme in the physical sciences in Finland. At the beginning