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machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices. Software Engineering: Excellent software development skills
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background in machine learning, deep learning, artificial intelligence, or computer vision Strong Python programming skills Experience with at least one deep-learning framework, preferably PyTorch An
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Information Additional comments Candidate Profile and Required Skills: Background in AI: Strong academic background or training in artificial intelligence and machine learning / deep learning. Technical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
learning, or related areas. Required Qualifications, Competencies, and Experience Strong background in machine learning, deep learning, or related AI techniques. Proficiency in Python and at least one
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analysis in cryo-electron tomography data, applied to chromatin organization and synaptic molecular targets. Please include a cover letter with your application. Describe a deep learning project you have
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mathematics behind machine learning (linear algebra, statistics, calculus, dynamical systems theory). Coding Proficiency: Multi-year experience with Python and deep learning frameworks (PyTorch/JAX). You
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; agent learning and adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer
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; agent learning and adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer
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support; agent learning and adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer
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Helmholtz centers. Methodologically, a broad range of topics is covered, from large-scale data management to data mining and data analytics (including machine learning and deep learning); from high