890 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions in Sweden
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the position, but up to no more than 20% of working time. Teaching may involve course student lab supervision, tutoring of problem-based learning, or lecturing. The position includes the opportunity for three
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, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also committed to building a safe and positive
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. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop independence as a researcher and to create the opportunity
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teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. The postdoc contributes to the research cluster through
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learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. The postdoctoral position is proposed around the following project
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collaboration and a workplace that promotes learning and development for all employees. We are also committed to building a safe and positive environment for all employees through mutual respect and tolerance
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developmental biology. Welcome to apply on 29 January 2026 at the latest. Duties Duties include teaching and research in the field of neuroscience, developmental biology and physiology. You will: Teach and ensure
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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 as a workplace Description of work About the
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of quantitative genetics and breeding. We do not expect the selected candidate to be proficient in all these from the beginning, but they should be eager to learn the required techniques. On a personal level, we
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning