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methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods, high-dimensional geometry, and structure-aware learning; and the
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The Senior AI Programmer Analyst is an individual contributor responsible for the design, development, deployment, and ongoing optimization of artificial intelligence and machine learning solutions
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, computational biology, statistics or a closely related field. You have strong programming skills, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision
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adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence
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adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence
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of recommendation will be requested only for those candidates under further consideration. Apply link: https://aprecruit.berkeley.edu/JPF05609 Help contact: [email protected] About UC Berkeley UC Berkeley is
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, theoretical models, and national laboratory operations. Each AI associate works on a few complementary projects, enabling deep focus, impactful results, and cross-disciplinary inspiration. Projects range from
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: Spring 2027 semester: (beginning of January through mid-May) Applied Math for Data Science General Linear Models Deep Learning & AI Capstone in Applied Data Science I We are also interested in hiring
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, you will design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale
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environment. 4) Development of machine learning and deep learning models for forecasting reduced visibility, low cloud ceilings, and adverse weather conditions impacting air operations. 5) Implementation