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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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, Mathematics, Physics, or a related discipline Excellent programming skills in Python and/or R Strong expertise in machine learning, deep learning and predictive modelling Experience working with multimodal
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campus community located in the city’s cultural corridor, Buffalo State prides itself as having smaller learning environments coupled with larger university opportunities. Boasting a diverse and inclusive
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content analysis using artificial intelligence and deep learning techniques, including face detection, face recognition, and dynamic identity enrollment and updating. Where to apply Website https
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engineering Background in deep learning, computer vision, LLMs, visual language models, agentic AI, AI system design. Equipment Utilized Physical Demands and Work Environment Special Conditions Posting Details
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, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http
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facilitate senior-level conversations. Proven ability to work with significant autonomy and exercise sound judgment in a fast-paced, resource-constrained environment. Deep familiarity with AI tools
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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded
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experimentation and training. Science of Deep Learning: Exploring mechanistic interpretability and understanding the fundamental drivers of model performance at scale. As an early member of this fast-growing team
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interdisciplinary research centers. Successful candidates must be able to teach in these and other areas while also contributing to the excellence of our programs through research and service efforts. Candidates