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learn experimental and computational approaches to tackle fundamental biological questions with medical relevance using innovative system-wide techniques. You will work on an exciting multidisciplinary
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interdisciplinary environments and to apply diverse methodological approaches are essential. We do not expect the candidate to be proficient in all of these areas; however, they should be eager to learn the required
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experimentally verified results is a necessary: Research Topics: Learning-Based Autonomous Systems for Field Robotics Reinforcement learning-based navigation Multi-agent coordination and communication-aware
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will involve three short visits to partner laboratories to learn cell delivery methods, immunologic characterization of cells and tissues, live cell tracking, and multi-omics data analysis methods. As a
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equitable teaching. The graduate school specialises in practice-based mathematics teacher education. This includes examining how teachers’ work is made into a learning objective in teacher education, and how
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demonstrate the ability and eagerness to learn new methods and a strong interest in developing both experimental and analytical skills. On a personal level, we are looking for a collaborative and engaged
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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
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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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to acquire basic knowledge of Swedish during the employment period. More information about the doctoral programme is available at: https://www.soclaw.lu.se/en/research/doctoral-studies/phd-handbook General
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the form of various single subject courses in the aesthetic field and in Craft Education. The division also participates in the interfaculty collaboration Form, sloyd, practical-aesthetic learning and design