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and Research (MESR). Phd position The performance of recommendation algorithms that make use of human behavior heavily depends on their ability to capture the experience of people who interact with them
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date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. Fluorinated molecules play an important role in modern discovery chemistry because fluorine can
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the application form provided below. It should be duly completed (including recommendation letters) before the deadline specified by the doctoral program of your choice. Selection Students wishing to do their PhD
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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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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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Curriculum vitae (including a list of publications, if applicable) Scanned transcripts of bachelor's and master's degree Contact info (no direct recommendation letters) for peers who can recommend you Your
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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
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tuition fees will be paid. We expect the stipend to increase each year. The start date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. We seek
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. The application should include the following documents in PDF format: • A curriculum vitae. • A complete list of publications. • Motivation letter. • 3 recommendation letters or a list of references. • Short