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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 15 hours ago
Job Requirements REQUIRED: PhD in a field of quantitative science; strong background in machine learning and signal processing; experience with and commitment to rigorous and reproducible
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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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. The ideal candidate will possess not only a deep conceptual understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. We
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processes. Ensure consistency and accuracy across imaging datasets and labeling workflows. Machine Learning & Model Development Support the design, development, and optimization of machine learning and deep
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knowledge-guided machine learning, physics-informed machine learning, scientific foundation models, graph neural networks, geometric deep learning, operator learning, generative models, or AI agents
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(including neural quantum states), stabilizer and near-Clifford simulation, Gaussian/free-fermion methods, open-system dynamics (Lindblad master equations). - Machine learning for physical systems: deep
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 15 hours ago
cycle assessment, life-cycle cost analysis, pavement simulation, machine learning, deep reinforcement learning, and/or physics-informed modeling frameworks; and demonstrated ability to effectively
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quantitative and computational background Experience in one or more of the following areas is preferred:CT or other tomographic image reconstruction, medical image analysis, machine learning or deep learning
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further areas are also within scope, and we expect the candidate to contribute to at least one: 3D shape analysis and geometric machine learning. Learning on meshes, point clouds, and landmark
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
motivated candidate with a strong interest in machine learning and clinical neuroscience. The lab studies resilience and vulnerability in brain aging and dementia, and builds computer-aided methods and tools