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of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en
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for a two year postdoctoral position to characterize the statistics of brain activity and relate it to the underlying network properties. Recent data has revealed the multiple ways brain activity
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techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model (LLM)-assisted visual analytics of text, images
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Technology and Policy research group which focuses on understanding the feasibility of climate action and developing approaches for anticipating transitions. The group has a rich international network and a
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and their sustainability aspects. Collaborate closely with other members of the group and experts in organic chemistry and plant biology, engaging in interdisciplinary research. Network at international
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Description of the workplace The role will include engagement with two key national competence centres with a broad industrial and academic network: Swedish Electromobility Centre and Swedish
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analysis in medicine. Experience of software version control with Git, typesetting with LaTeX, use of Linux computers; Experience with graph-based methods, and graph convolutional/neural networks; Experience
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which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. The position offers excellent opportunities for networking with district heating
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data reflect real‑world disease phenotypes. Advanced analytics: apply AI and machine‑learning techniques (e.g., graph neural networks, multimodal transformers) to uncover novel biomarkers and generate
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regulators of disease onset and progression. Responsibilities include processing large-scale sequencing data, developing and benchmarking methods for splicing and regulatory network inference, integrating