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. Responsibilities include processing large-scale sequencing data, developing and benchmarking methods for splicing and regulatory network inference, integrating multimodal data with clinical information
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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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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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, innovative technologies for biomass conversion, neural network systems, and artificial intelligence for more efficient mathematical and computational approaches. Subject description The work focuses on
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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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experimentation, and advanced characterization techniques. The position offers substantial opportunities for scientific growth, international networking, and career development, including support for developing
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substantial opportunities for scientific growth, international networking, and career development, including support for developing independent research ideas and applying for external funding. Read more on the
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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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-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