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) and cover a wide range of innovative topics, from the development and validation of novel methods, algorithms and EO products to innovative climate research; the development of improved climate data
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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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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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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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). Has experience in extracting structured information from unstructured documents. Hhas experience working with text in multiple languages. Is committed to Open Source and Open Science practices. Has
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to explore new unstructured data and methods Strong attention to detail with good organization skills; ability to manage multiple, concurrent tasks Evidence of engagement in high-quality research activity
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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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profile, experience and research proposal. Planning and autonomy: The objective is to study the state of the art of planning algorithms that would support onboard autonomous operations of a rover system on