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Field
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climate because they interact with radiation from the sun and from the earth. However, the aerosol-cirrus interaction in the UTLS is not well understood because of lacking sufficient in situ data. In
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mining. In-depth knowledge of the design, analysis and implementation of algorithms for large text corpora, including efficient data pipelines and clean experimental design. Strong NLP skills for semantic
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(4DSTEM). This approach will combine three-dimensional charge distribution data, generated through atomistic simulations, with machine-learning-driven modelling to guide and refine the phase reconstruction
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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field * Strong background in mathematical and computational sciences * Experience with large-scale machine learning, foundation models, or data-centric AI is a plus * Driven, with a strong work ethic and
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faculties and a large network of institutions and facilities. The HighTechCampusLMU in Grosshadern-Martinsried is synonymous with well-connected and internationally renowned research in life sciences
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doctoral programmes: any time Additional information on beginning, duration and mode of study The courses always start in spring. Depending on the topic, courses will either be held in person or online (only
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society and sets new standards for the qualification of young academics. Digital platform ecosystems form the foundation for fundamentally novel data and knowledge-intensive business models, requiring
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partnerships to long-term large-scale research projects. Heidelberg University Heidelberg University was founded in 1386, making it Germany’s oldest university. It is a research university of international
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project "Information Field Theory for Experiments at Large Research Facilities" has a PhD opening in the field of data-intensive radio astronomy. Methods of information field theory will be used