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Systems conducts research and education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Read more about us here: https://liu.se/en
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models for intelligent environments. The primary area of research involves developing AI models that can learn to represent real-world phenomena based on various types of observations, including video
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, and Data-driven evolution and biodiversity. For more information, see https://www.scilifelab.se/data-driven/ddls-research-school/ . What do we offer? A creative and inspiring environment full
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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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is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university
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intersection of machine learning and life sciences, developing next-generation models that improve our understanding of human biology and enable more proactive, personalized healthcare. As an Industrial PhD
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learn high-end techniques, especially for cryogenic studies, and to build a scientific network in astrobiology and planetary science fields. In addition to the research assignment, participation in
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the second year onwards. The funded period of doctoral study is then extended accordingly. For more information about doctoral studies: https://www.umu.se/en/research/research-with-us/doctoral-studies/ https
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and learning environment that coordinates e-health activities across the university and carries out research and evaluation projects focused on user and citizen benefit. The eHealth Institute
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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