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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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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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–Ras signaling cascade Developing generative AI models for protein design within an existing multimodal framework integrating sequence, structure, functional, microscopy and molecular dynamics data
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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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) will receive preferential consideration if they meet the requisite qualifications. Promising candidates will be invited for an interview. If this opportunity aligns with your aspirations, please submit
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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