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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
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and ability to communicate clearly Merits include: Knowledge of LLMs, deep learning, and Python programming Knowledge of power electronics Experience in modelling, simulation, and experimental work In
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candidates to be interested to learn these practical skills. While the project has and initial plan with funding from the Swedish Research Council (see below), the different parts of the project will be
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from teacher educators, schoolteachers and those who are otherwise interested in conducting research on teaching and learning within the advertised areas of specialisation. Applicants can be at an early
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multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta