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associated with NeAIxt , a Chips JU research project jointly funded by the European Commission and Innovation Fund Denmark (IFD). NeAIxt is a large European collaboration with a consortium of 64 partners
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thereafter) for a period of two years. Lithium-ion batteries are a cornerstone of the green transition, powering technologies from electric vehicles to large-scale energy storage. However, charging processes
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to large-scale energy storage systems. Despite their widespread use, these batteries are subject to complex and interconnected degradation processes that can significantly impact performance and lifetime
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&ProjectId=145537… Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Skills/Qualifications Experience with Danish health registries and large population-based data
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area of expertise. Collaboration will involve joint problem-solving, the integration of data streams, and the development of decision-support tools to inform large-scale restoration policy. Your profile
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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
. Required qualifications: A Ph.D. degree in Computer Science, Data Science, Software Engineering or related field. Solid research experience with using Large Language Models. Solid programming expertise in
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Exoplanet Group at DTU Space. At DTU Space, you will have access to data from world-class telescopes, including JWST, ultra-precise RV spectrographs (e.g., HARPS-N and EXPRES), and access to ESO facilities
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analytical methods to large data sets The possibility for contract extension Flexibility in planning working hours Advanced professional training opportunities Possibility of participation in international
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these new large-scale data sources to develop new approaches for analysis of microbial horizontal gene transfer using long-read metagenomics in complex environments. The postdoc will be part of the Microbial
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and applying genetic and genomic approaches to biodiversity research. This includes integrating environmental DNA (eDNA) and molecular tools with ecological data to enhance our ability to assess