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strategies studied in comparison with conventional remediation strategies. The project aims to develop and apply methods for assessing environmental impact, ecosystem services, and technical and socioeconomic
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research is carried out in close collaboration with external partners, both nationally and internationally, and contributes to knowledge development and innovation. Through our collaboration platforms, we
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theory, geometric group theory, and rigidity theory, depending on the interests and background of the successful candidate. The exact direction of the project will be developed together with the successful
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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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characterization of HIV RNA/DNA in primary material as well as model cells using Oxford Nanopore sequencing and complementary molecular and computational approaches. The doctoral student will help develop, optimize
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in practice when the dimension of the data-generating process exceeds the sample size, this project will contribute by developing the distributional properties of generalized inverses of the high
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of methods, the project examines how team resources, audit processes, and organizational contexts shape the quality and credibility of sustainability assurance. The aim of the project is to develop
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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Welcome to Linnaeus University! Here you'll meet 2 200 staff members and 40 000 students, all united in following the vision to set knowledge in motion for a sustainable societal development. With
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value diversity and different perspectives in our team and we actively work to create an inclusive and supportive research environment. More information about the lab: https://renner-lab.com