663 machine-learning "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Geesthacht" positions at Nanyang Technological University in Singapore
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) to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models
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learning algorithms to support research in IDMxS. Key Responsibilites: Apply/ improve/ develop machine learning algorithms to process (e.g., classify, predict) data/ images collected by IDMxS. Help supervise
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tools. Hands-on experience in autonomous robotics projects; exposure to deep learning or reinforcement learning is a plus. Strong problem-solving ability, collaborative and independent work style
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the lab Job Requirements: Bachelor’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in machine learning, computer vision and deep learning Good written and
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on computer vision. The role involves developing and advancing novel algorithms for emerging challenges in computer vision, including continual learning and few-shot learning. The candidate is also expected
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Requirements: Ph.D. in Electrical and Electronic Engineering, Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, Human-Computer Interaction, Biomedical Engineering, or other
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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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the essentials of linear algebra, calculus, probability, statistics, algorithms, and data structures. The goal is to provide a foundational understanding of machine learning and deep learning methods
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program. Job Requirements: Preferably Master’s degree in Physics, Computer Science, Engineering, Mathematics, Machine Learning or relevant fields. Experience in interdisciplinary research involving physics