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learning, large language models, and the theory of deep learning. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications
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language models (LLMs) using APIs (for example via enterprise or commercial LLM providers), including prompt management and context injection: Experience developing, deploying, and maintaining applications
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, tables, diagrams) into structured representations and formally checkable properties. This includes designing controlled reasoning pipelines that combine LLMs with symbolic constraints (typed logical forms
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experience and expertise in web-scale data curation, development of large language models (LLMs), and in-depth LLM evaluation. LTG has a strong commitment to open-source resource and software development
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PhD in Computer Science, AI, Machine Learning or related field Experience Strong track record of publications in top-tier venues (e.g. CORE A*) Expertise in reinforcement learning, AI agents, and LLM
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effective user experience. Applies principles of trust, transparency, and explain ability to ensure ethical, user-centered AI design. Develops and refines prompts for large language models (LLMs) to generate
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Maintain deployment of visualization tools and statistical environments in Qlik, Snowflake and Posit. Leverage LLMs (proprietary or open-source) for text processing, such as analyzing donor contact reports
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Description The Teamcore Group (https://teamcore.seas.harvard.edu) at the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seeks postdoctoral fellows to work on AI
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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and
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Qualifications Minimum Education and Experience Law degree (JD, LLM) from an accredited law school. At least fifteen years of relevant experience, especially in the area of litigation. Certifications/Licenses