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knowledge of extracting (event) data from text, documents, and/or media articles or implementing large-N analytics and algorithms, preferably LLMs and/or NLP. Conduct collaborative and independent research
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and geo-analytical transformations; design and implement algorithms that parse geographic questions into conceptual transformation graphs; develop graph-based methods (e.g. knowledge graph embedding
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studies independently, working with diverse datasets, developing algorithms and decision rules, and contributing to the refinement of data-driven intervention strategies. Tasks As a postdoctoral researcher
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partners. The successful applicant is expected to carry out research on the algorithmic foundations of digital platforms for large-scale deliberation. The research has the potential to directly inform the
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a large interdisciplinary consortium of digital democracy researchers as well as several societal partners. The successful applicant is expected to carry out research on the algorithmic foundations
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on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
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subpopulations, as well as (plastic) cancer cell states that contribute to tumor progression, metastasis, and therapy resistance. The role has multiple responsibilities: ~30% of the time will be dedicated
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genuine interest in both fundamental and applied research. The ideal candidate is flexible, self-motivated, and has a collaborative mindset. You will be closely working with experts across multiple
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consolidation work flows; analyse and scale carbon dioxide and methane flux data from multiple locations and transects in relation to explanatory variables from vegetation and soil characteristics, land and water
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. Explore options for high level assessment of environmental and social impacts of individual CCUS projects. Conduct multiple CCUS exemplary case studies in the Netherlands and support project partners in