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, learner-aware sequencing of content. This includes work on semantic parsing, structured NLP, graph-based neural models, metacognitive prompting, ontology alignment across disciplines, and human-in-the-loop
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Leibniz Institut für Naturstoffforschung und Infektionsbiologie | Jena, Th ringen | Germany | about 18 hours ago
interests and will align with the objectives of the aforementioned consortia. A key component of the work will involve the computational integration of multi-omics datasets from both microbial communities and
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
algorithms to estimate human shape and motion in images, videos and RGB-D sequences. Our approaches define the current state of the art, and we are constantly pushing these methods and systems in order to
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evidence. · Investigating new ways to robustly and reliably evaluate domain-specific IR and RAG approaches to ensure that methods align with user expectations and preferences. · Collaborating with
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text analysis and (semi-)automatic labeling, e.g., text/segment classification, sequence labeling, span-based labeling, information extraction (NER/relations, if relevant for coding), transformer
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research. The specific focus of the Ph.D. project will be tailored to the candidate’s skills and interests and will align with the objectives of the aforementioned consortia. A key component of the work will
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research. The specific focus of the Ph.D. project will be tailored to the candidate’s skills and interests and will align with the objectives of the aforementioned consortia. A key component of the work will
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the corresponding production processes and environments to be automatically initialized, processing areas to be generated and the optimal processing tools and their alignment to be assigned to them. For this purpose