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quantitatively assess different carbon and biodiversity market design options, comparing their environmental and economic outcomes to provide evidence-based policy recommendations. This project will involve
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ideological orientation. Investigates how these ideological tendencies change under financial analysts or financial advisor personas, and how they affect stock forecasts, investment recommendations, and ESG
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Fraunhofer ISI in Karlsruhe is a globally recognized center of excellence in innovation research. The different focuses of our seven Competence Centers enable us to address key issues of innovation
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order to identify differences in institutional approaches. Both qualitative and quantitative methods will be applied, especially the analysis of secondary data, case studies, and comparison of economic
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published – a document issued by the editorial board of a scientific journal certifying the acceptance of an article for publication (after the reviewing procedure) and its manuscript) Recommendations by two
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published – a document issued by the editorial board of a scientific journal certifying the acceptance of an article for publication (after the reviewing procedure) and its manuscript) Recommendations by two
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determined on a case-by-case basis. The start date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. High-performance steel components for aerospace
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different areas of AI (such as machine learning, computer vision, natural language processing, and bioinformatics), hosting powerful computing facilities internally and as part of the EU EuroHPC supercomputer
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above. *If you encounter any issues with the application portal, we recommend trying a different browser, as this often solves the problem. For questions and informal enquiries, contact Dr. Limor Raviv
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systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques