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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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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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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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-smokers. The successful candidate will have a leading role in the analysis of bulk- and single cell RNA-seq data, miRNA seq data from scarce particle samples, multi-omics integration and network medicine
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the Job related to staff position within a Research Infrastructure? No Offer Description Job description The BioGlue Center is a network of excellence in the field of bio-based wood glues, in
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of progenitor-to-tumor cell niche transitions, focusing on the esophageal epithelium. Duties The current project will be centered around characterizing changes in local cell-cell networks during early esophageal
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, electrophysiology, chemo-optogenetics. Behavioral measurements will be performed in collaboration with Olof Lagerlöf’s group. The postdoc will image (and influence with opto-chemogenetics) the network representation
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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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prior to the application deadline Research experience with deep learning architectures (e.g. Transformers, diffusion models, graph neural networks) applied to multimodal data. Proven expertise in time