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sciences . Project description The Johannesson lab at DEEP makes use of the unique lifestyles of fungi to explore evolutionary questions about individuality and genetic inheritance. The group is now looking
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sciences . Project description The Johannesson lab at DEEP makes use of the unique lifestyles of fungi to explore evolutionary questions about individuality and genetic inheritance. The group is now looking
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, we aim to generate knowledge towards the development of sustainable pest and disease management solutions based on conceptual theory and empirical eco-evolutionary, molecular, and genetic data that can
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management solutions based on conceptual theory and empirical eco-evolutionary, molecular, and genetic data that can meet the needs of current and evolving plant production systems. Read more about our
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of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms
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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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multiple subfields represented, including animal behaviour, evolution, ecology, genetics, zoology, conservation, microbiology and animal welfare. See: https://liu.se/en/organisation/liu/ifm/biolo
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, molecular and population genetics, genomics, conservation, and behavior. More information about us, please visit: the Department of Zoology . SciLifeLab is a national research infrastructure. In Stockholm
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of the doctoral student Cell types in healthy tissues only take on a finite number of states, since they are generated following a strict developmental program. Cancer cells, however, carry genetic alterations
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understanding of how the genetic code specifies binding rates and affinities for interacting molecules. Despite the significance of these interactions, quantitatively predicting binding from nucleotide or protein