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. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent
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their repertoire. If they encounter text written in a language they have not seen before, they label it with what their algorithm deems the closest match. The results of such behavior can vary from the indicated
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to migration-related diversity. The position contributes to advancing methodological innovation through the creative and reliable use of machine learning, AI, and other algorithmic techniques in qualitative
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they encounter with a label of one of the languages in their repertoire. If they encounter text written in a language they have not seen before, they label it with what their algorithm deems the closest match. The
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, AI, and other algorithmic techniques in qualitative social scientific research. In line with the interdisciplinary and reflexive ethos of DIVSOL, attention to the societal implications of AI is an
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diversity (e.g., composition,size- and spatial distribution of trees) and diversity of other species in the forest are linked. The focus will be on understanding the spatial scales of these relationships and
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analyses of quantitative forest structure and species monitoring data to understand how forest structural diversity (e.g., composition,size- and spatial distribution of trees) and diversity of other species
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advanced computational approaches to map the diversity, dynamics, and tissue distribution of viruses in the human body. We investigate how these viral communities influence disease susceptibility and