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resources may be provided by the Jean-Zay supercomputer. Large language models (LLMs) and deep contextual embeddings (i.e., BERT and its variants) are trained on large corpora, usually extracted from various
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Supervisory Team: Dr. Muhammad Burhan Hafez (Lead Supervisor), Professor Adam Sobey PhD Supervisor: Muhammad Burhan Hafez Project description: The integration of Large Language Models (LLMs
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and analysis, content interaction and availability, and Norwegian language technology. The goal is to develop responsible technological solutions to societal challenges like AI, fake news, echo chambers
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22 Apr 2024 Job Information Organisation/Company Universitat pompeu fabra Department Department of Translation and Language Sciences Research Field Language sciences » Linguistics Psychological
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to staff position within a Research Infrastructure? No Offer Description In this position you will combine deep learning and linguistics to study two critical shortcomings of state-of-the-art AI
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language tools and mechanisms for building secure data sharing platforms. • Experimental Design: Design and conduct experiments to test the efficacy and performance of developed tools and mechanisms in
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10 May 2024 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 9 Jun 2024 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded...
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This position offers a unique opportunity to delve into cutting-edge research at the intersection of cybersecurity and privacy, addressing real-world challenges in data protection and information flow control. The candidate will work within a dynamic and collaborative research environment,...
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the guidance of senior researchers and project leads. • Tool Development: Collaborate to design, implement, and evaluate programming language tools and mechanisms for building secure data sharing platforms
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endeavour is to leverage Large Language Models (LLMs) in a language-vision framework to mitigate the risk of AF utilising ECG image data digitised from paper records in conjunction with relevant clinical data