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decision-support systems for sustainable forest-based supply chains in close collaboration with industrial partners. These projects aim to develop interactive methods, computational models, artificial
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biology, microbiology, environmental science and environmental engineering as well as disease ecology. The Linnaeus University centre in Ecology and Evolution in Microbial Model Systems (EEMiS) in Kalmar
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doctoral student in the field of chemistry to work on development of deep learning models for estimating protein-ligand binding energies. The specific project is a part of a large-scale collaboration
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that are differentially expressed in genome-sequenced marine model bacteria and natural marine bacterial assemblages. Analyses will involve state-of-the-art techniques in microbial ecology and molecular biology (e.g. gene