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or question-answering for Nordic use cases). Qualifications: A Ph.D. or similar qualifications in Computational Linguistics, Computer Science, or a related field (e.g., cognitive science), specializing in
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Cluster, an interdisciplinary research collaborative focusing on climate change and the consequences for human societies https://www.sdu.dk/en/forskning/sdu-climate-cluster . The work language is English
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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frequently applied non-target and suspect screening based on high resolution mass spectrometry (HRMS), combined with both gas chromatography (GC) and high performance liquid chromatography (HPLC). Likewise
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2025. Highly motivated and committed candidates with an interest in DNA damage response pathways and chromosome biology are encouraged to apply. The post is fully funded, although the post-holder will be
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of the position include: Pursue visiondriven, world-class research as a team that spans across broad linguistic, technical and historical competencies Working in a team that develops new methods in the intersection
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. You will join the Junior Innovator program at Aarhus University, comprising young researchers from across all faculties. You will be encouraged to and supported in applying for external funding e.g
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
frequently applied non-target and suspect screening based on high resolution mass spectrometry (HRMS), combined with both gas chromatography (GC) and high performance liquid chromatography (HPLC). Likewise
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Denmark’s distinctively rich registry data, exploring a range of life outcomes throughout early development on the full Danish population (including on crucial subsets such as adoptees). We seek to use
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within