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within the fields of plant science and synthetic biology. Further information on the Department is linked at (https://www.science.ku.dk/english/about-the-faculty/organisation/ ). Inquiries about the
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diffraction and fluorescence techniques in the investigation of structure–reactivity relationships. Performing and analyzing electrocatalysis experiments using gaseous reagents and/or products. Analytical
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of cellular aging, resilience, and fibrosis. Responsibilities Develop and implement analytical pipelines for large-scale single-cell, spatial, and multi-omics data integration Build and apply machine learning
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with other bioinformaticians and microbiologists at the section to develop tools for translating “omics”-data into causal ecological understanding of the plant-microbe-soil system. Job description The selected
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) and cell culture Strong analytical, organizational, and documentation skills High level of motivation, creativity, and ability to work in a collaborative and multidisciplinary team Preferred
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electrical and computer engineering for real-world, large-scale applications. The NAN group has strong expertise in wireless networks, routing, network security, data analytics, and cooperative multi-agent
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. Specifically, the pharmacoepidemiological research group utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations
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of questions, data, and analytic methods involved (1 page) a CV official documentation of a PhD degree or its equivalent a full list of publications two writing samples, at least one of which should be published
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: Operator Algebras, Machine Learning, Analytic Number Theory, Automorphic Forms and Representation Theory Appl Deadline: 2025/10/10 11:59PM (posted 2025/09/10, listed until 2025/10/10) Position Description
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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non