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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 23 hours ago
, Applied Mathematics, or a related field. Strong expertise in: Computer vision and image processing Deep learning (e.g., PyTorch, TensorFlow) Data-driven modeling and analysis Proficiency in Python and
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Data-driven materials discovery and design Location Material Measurement Laboratory
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musculoskeletal medicine and orthopedic surgery · Biomedical data science and modeling relevant to MSK health · Image analysis and computer vision for orthopedic imaging · Clinical
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 23 hours ago
based on deep learning to accelerate the physics simulation for membrane relevant processes, which can be based on physics-informed neural network, data-driven models, and hybrid simulation models
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-generation, data-driven manufacturing systems that integrate artificial intelligence, real-time sensing, and digital twins to transform how critical components are designed, produced, and qualified. The
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, Applied Mathematics, or a closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected to
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‑to‑end ML/AI and/or simulation‑driven software systems, from data ingestion and model development to experimentation and deployment. Hands-on experience with machine learning frameworks, particularly
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, Computer Science, Applied Mathematics, or a closely related field. 2–4 years of professional experience in software engineering, data science, or applied R&D, with exposure to machine learning and AI
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 20 hours ago
focus on machine learning and statistical inference for large-scale, multi-modal neural data is preferred. Expertise in areas such as computational modeling of cognition and behavior, brain-computer
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | 30 days ago
focus on machine learning and statistical inference for large-scale, multi-modal neural data is preferred. Expertise in areas such as computational modeling of cognition and behavior, brain-computer