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(LLMs) in transportation and mobility. This position offers a unique opportunity to contribute to cutting-edge work at the intersection of artificial intelligence and mobility studies, with a strong focus
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Confidential Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience Law degree (JD, LLM) from
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modeling, LLM and/or NLP, behavioral coding, and/or psychophysiological monitoring. For consideration, please click the link below to apply and submit all required application materials: https
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efficiency of large-scale AI systems, such as foundation models (e.g., LLMs, VLMs, Multimodal models) and World models, while maintaining or improving performance. Design and implement next-generation
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home and at Greater Manchester Combined Authority's (GMCA) premises in central Manchester, as part of their Information & Data Governance Team. To find out more about GMCA, go to https
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technologies (e.g., Intune, Jamf). (Required) Experience developing workflow automations using tools such as Qualtrics or Microsoft Power Automate. (Preferred) Familiarity with AI and large language model (LLM
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, model training, validation, deployment, and monitoring in production. Natural Language Processing: Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering
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or a related field AI expertise Experience with or strong interest in AI methods and computational modelling Affinity with one or more AI domains such as machine learning, computer vision, NLP, LLMs
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for LLM reasoning applications in the future. The work will involve designing algorithms, running experiments on the HPC, analyzing the results and improving the algorithms. It will also involve extensive
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Award at the University of Sheffield. We aim to develop retrieval-augmented, multi-modal, and explainable Large Language Models (LLMs) for healthcare fact-checking. Reliable healthcare information is