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: The selected candidate will work within the scope of Activity 1 of the project, specifically on the personalization of AI assistants based on small generative language models (SLM) and on mechanisms
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, systems, and hardware design. Experience in one or more of: LLMs, AI agents, embedded ML, physical modelling and simulation Strong programming skills in Python and C/C++, familiarity with ML deployment
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: Apply Position Description Postdoctoral Associate – National Tutoring Observatory Cornell University Description The National Tutoring Observatory (NTO) is based in Cornell’s Ann S. Bowers College
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. This should include a description of a deep learning project that you have executed, ideally a creative use of a transformer-based or related architecture that you trained yourself. If it is in the sequence
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. Candidates will perform research on agentic AI, foundational modeling, optimization, and control of multiagent autonomous systems with an application in renewable energy and power grids, in addition to working
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-Machine Interaction Software Development AI Agents Physics-informed Machine Learning Diffusion Models Synthetic Data Digital Twins Application Domains We also value experience applying AI in fields such as
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. Students will develop familiarity with both model-based and model-free reinforcement learning algorithms, including Q-learning, Actor-Critic algorithms, and multi-armed bandit algorithms. More information
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platform – creation of a domain-specific, constrained Large Language Model (LLM) and AI agents for use within an OMS; Model development and training; Integration of AI agents. Applicable legislation and
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will be primarily based at Main Sterilization in the Health Sciences building on the main UW campus and will float as needed to the Magnuson Sterilization location, which is located our Sandpoint
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applications. This project key innovation lies in incorporating novel antivirulence compounds (agents that target bacterial quorum sensing rather than viability) into these scaffolds. By inhibiting pathogenic