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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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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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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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power network. The project will be carried out in close collaboration with leading industrial partners, including Hitachi Energy Research, and will address the pressing challenge of maintaining power
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experimentation to address one of the most critical challenges in modern energy systems, maintaining stability in an increasingly converter-dominated power network. The project will be carried out in close
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) on the effects of a changing climate in Arctic ecosystems. We offer a working environment with world-leading excellence on a broad range of disciplines, strongly connected to a global network of arctic research
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present results from your research and develop your network. In addition to your own research and experiments, you will also supervise and help train new students when they join the group. This will help
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datasets from public repositories, ensuring a comprehensive and reproducible resource for the community. Key responsibilities include: Data harmonization and quality control: align disparate modalities
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combination with machine learning and/or data mining techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model
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an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems