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language processing and the use of (multilingual) large language models / transformer-based models. Experience with large-scale data collection (e.g., parliamentary speeches, manifestos, press releases, social-media
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: Strong theoretical and empirical knowledge about inequality (required) Strong skills in quantitative methods with a focus on register data (required) Working with large datasets, including cross-walking
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. Qualifications Applicants at Postdoctoral Researcher level should hold a PhD in AI enabled learning, educational technology, information systems, computer supported learning, social entrepreneurship, innovation
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Sheet darkening, and relate them to ice melt at large spatial scales using remote sensing. The postdoc in this project will be the main responsible for the acquisition of data related to snow and ice
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7 Jul 2026 Job Information Organisation/Company Copenhagen Business School Department HR Service Research Field Political sciences » Other Researcher Profile First Stage Researcher (R1) Positions
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., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) may be involved. Training will be provided in all methodologies but prior experience with some
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Quantitative proteomics workflows Development of LC-MS/MS methodologies Post-translational modification analysis Data-independent acquisition (DIA) approaches Large-scale proteomics studies Laboratory automation
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screening microscopes, full facilities for sample preparation, and a large suite of advanced light microscopes. Responsibilities The candidate’s duties will include designing and running experiments as