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well as interpretability of scientific foundation models. The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar
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of machine learning researchers, engineers, and domain scientists. This collaborative environment offers a unique opportunity to work on cutting edge AI models, with a focus on generalization and
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Decision-Making Lab (PI: Mark Ho) seeks a part time Associate Research Scientist to work on topics related to computational cognitive science, reinforcement learning, and interactive machine learning
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compression in children’s developmental trajectories of learning word meanings, as well as communicative efficiency and human-alignment in LLMs. Job duties include: - Contributing to ongoing research projects
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molecular biology and either prior experience in, or a strong desire to learn, basic bioinformatic analyses. Applicants must hold a PhD by the start date. To apply, please provide: a CV contact information
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: Catherine Hartley) at New York University seeks a Postdoctoral Associate to work on neuroimaging and behavioral studies examining learning, memory and decision-making across development. NYU offers
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of machine learning to the practical tools of deep learning, now available through modern foundation models. For the theory part, the selected candidate will work in close collaboration with
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and experienced AI technical leader responsible for driving the technical strategy, design, and implementation of Artificial Intelligence and Machine Learning (AI/ML) solutions across the university
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to teach the course 'General Physics I' to undergraduate students during the NYU semester of August-November 2026. Class meets tentatively twice a week with lectures and recitations tentatively
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or special assignment within the Computer Aided Dispatch, (CAD), system. Required Education: High School Diploma or equivalent Preferred Education: Bachelor’s degree in security or related field or equivalent