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Mathjobs.org | 26 days ago
discovery: AI-assisted simulation, surrogate modeling, inverse learning problems, automated scientific discovery, generative approaches for science, and data-driven discovery of mathematical or physical
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discovery: AI-assisted simulation, surrogate modeling, inverse learning problems, automated scientific discovery, generative approaches for science, and data-driven discovery of mathematical or physical
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, 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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Researchers in AI-driven atomistic modeling and AI-accelerated cheminformatics to join the Otaniemi Center for Atomic-scale Materials Modeling (OCAMM), hosted by the Department of Chemistry and Materials
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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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Investigator in generating high-quality field validation datasets and supporting data-driven urban heat research across selected test-bed sites in Singapore. This role is suitable for candidates interested in
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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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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately
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engineering, materials science, polymer science, physics, computer science, and/or data science Demonstrated accomplishments in materials informatics, scientific machine learning, or AI-guided
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, data science, applied mathematics, or a closely related field Demonstrated experience with multimodal data acquisition, data analytics, statistical modeling, and machine learning in manufacturing