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and energy systems simulations, and scenario forecasting-to evaluate dynamic energy-water futures and resilience strategies for diverse Idaho communities. Job Summary/Basic Function: The Postdoctoral
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science, connected to MDU’s existing research areas. The PhD project focuses on the development of a large language model (LLM)-based AI agent specialized in energy decision-making, including: development of AI models
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involving small groups of socially interactive virtual characters and agents (also known as SIAs). These embodied agents typically have a 3D representation and are able to interact with humans by expressing
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simulation platform, BEHAVIOR is a combination of simulation software and data assets intended to support robot learning use cases, such as training learning-based agents (e.g. in paradigms such as
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Description We welcome applications from researchers working across a wide range of AI domains – including Symbolic, Generative, Agentic, and Physical AI – as well as frontier research areas such as causality
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research encompasses (but is not limited to) identifying effective tutoring practices, running experiments on AI tutors in simulated and real-world environments, fine-tuning AI models to classify qualitative
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research. USAMRIID’s mission is to provide leading edge medical capabilities to deter and defend against current and emerging biological agents that threaten both the military and the nation. USAMRIID’s
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simulation platform, BEHAVIOR is a combination of simulation software and data assets intended to support robot learning use cases, such as training learning-based agents (e.g. in paradigms such as
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of Coimbra, with the ambition of developing innovative platforms incorporating therapeutic agents (e.g., nucleic acids, small molecules, peptides), involving mRNA for gene therapy. In the context
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not limited to) identifying effective tutoring practices, running experiments on AI tutors in simulated and real-world environments, fine-tuning AI models to classify qualitative data, and building