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of cell nuclei We are actively seeking a highly motivated PhD student with a passion for developing experimental methods to join our team. In this role, you will be involved in a groundbreaking project
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Sapere Aude – dare to know – is our motto. Our students and employees develop important knowledge that enrich both the individual and the community. Our academic environment is characterised by
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is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en/wiforce
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program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (https://www.slu.se
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diseases and infection biology, with the goal of developing personalised diagnostics and treatment strategies for dental caries. Our research focuses on identifying genetic and molecular predictors and
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transformations. The project investigates a hybrid approach that combines deep learning with grammatical inference to develop models that are interpretable, efficient, and mathematically verifiable while leveraging
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usage, memory and storage demands, and associated carbon emissions while aiming to maintain model quality. Your work will include developing new methodologies and algorithms for resource-efficient
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technical staff. We are now seeking a motivated and knowledge-driven PhD student to work on developing and improving patient-derived cells strategies in preclinical transplantation models, and to assess
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languages (Johannes Borgström, Eva Darulova, Lars-Henrik Erikson, Sofia Ouhbi, Tjark Weber, Tobias Wrigstad). The department is known for both strong theoretical work as well as tool development in
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collaborate with leading researchers and experts from several universities and the Visualization Center C. The work offers opportunities to publish internationally and develop cutting-edge expertise in AI and