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Field
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health. Most current Geographic Question Answering (GeoQA) tools only return short factual answers, but many real-world questions—like this example—require deeper spatial analysis. In such cases, maps must
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such cases, maps must be created or transformed from data rather than simply retrieved. The GeoTrAnsQData project addresses this by developing a GeoQA method that converts questions into executable geo
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, and API misuse scenarios are underexplored areas, lacking robust frameworks to systematically address them. The research project of the PhD student will thus focus on defining a rigorous testing
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processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs) into reliable and efficient decisions. The work spans
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(PSP) Integrated Science Investigation of the Sun (ISIS) instrument suite, and the Interstellar Mapping and Acceleration Probe (IMAP) mission in development for launch in 2025 to explore the details
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model, which maps online observable process parameters (e.g. spinneret voltage, flow rate etc.) to nanofiber product quality (e.g. morphology, diameter variance, all of which are only observable offline
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Frankfurt School of Finance & Management • | Frankfurt am Main, Hessen | Germany | about 21 hours ago
students and doctoral candidates Welcome event Buddy programme Help with finding accommodation Support with registration procedures Frankfurt School of Finance & Management University location Activate map
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mappings. By leveraging established entity and relation embeddings, the goal is to express conjunctive queries as structured compositions within the embedding space. For each representation type, it is
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mapping them onto phylogenetic trees Collaborating with a multidisciplinary team of biomechanists, ecologists, and entomologists Publishing your findings in peer-reviewed journals and presenting
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apply a fast and efficient forest trait mapping and monitoring method based on the Invertible Forest Reflectance Model. A machine learning / deep learning framework will be explored and developed