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(LLMs) to explore historical text data and cultural heritage collections. Collections of historical texts are increasingly used to train AI, but, consisting of highly heterogeneous text data
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their learning and develop reading comprehension skills? Are you eager to combine learning sciences research with classroom innovation? Then this PhD position may be of interest to you. Job description The Erasmus
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placement within Siemens Digital Industry Software. Project Overview The project focuses on developing and integrating ML techniques to enhance wall treatments for under-resolved boundary layers in
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simulation, composites manufacturing and advanced sensing techniques. The project will provide opportunities to develop skills in these areas and contribute to the development of the next generation composite
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Candidates (DCs). We aim to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship – to develop and support implementation strategies that address
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projects · Explore and develop appropriate research collaborations both within the Department, the Sylvester Comprehensive Cancer Center and outside of the University of Miami Miller School of Medicine
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delivering a seamless onboarding experience for incoming students and scholars. Key Responsibilities: 1. Admissions Planning & Execution Support the development and implementation of admissions strategies
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team from Friedrich Schiller University Jena, the Max Planck Institute for Biogeochemistry, the Jena University Hospital, and the Senckenberg Institute for Plant Form and Function jointly develops AI
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undertaking study in: Accounting and Finance Anthropology, Media and Performance Arab World Studies Architecture Business and Management Chinese Studies Criminology Development Policy and Management Digital
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extend the data science capabilities and capacity created, to other inflammatory mediated diseases. This PhD studentship aims to train the successful candidate in public health research methods, health