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to the development of next-generation approaches for marine environmental assessment and sustainability, working at the interface of environmental systems science, marine technology, and data-driven research within
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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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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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on the development and implementation of approaches for functional validation of regulatory elements in conifer systems. The work will bridge large-scale regulatory genomics with experimental molecular biology to
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methods to study interactions between humans and the built environment. The lab provides a cutting-edge experimental platform that integrates immersive virtual environments with a state-of-the-art climate
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specialising in combinatorics, group theory and geometry. The position covers four years of third-cycle studies, including participation in research and third-cycle courses. The last day to apply is 31 August
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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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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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study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The Department of Microbiology, Tumor and Cell Biology (MTC) at Karolinska Institutet conducts
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student will use and develop both computational and laboratory-based tools. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and