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-informed learning, inverse problems, uncertainty quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant
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: A doctorate in a Machine-Learning related field A deep knowledge of Control Theory, both classical and deep learning based A solid publication record in top level ML venues such as NeurIPs, ICML, and
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning (DL), and big data analytics. His lab is
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strategic partner to President Bethany Meighen in championing academic excellence and Concord’s mission of preparing students to “Come to Learn. Go to Serve.” The next Provost will be an innovative, student
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data science, biomedical engineering, technical medicine, or a related field. You should have strong programming skills (Python, PyTorch), deep learning knowledge (multimodal learning, longitudinal
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trials and deep learning-based modeling of multimodal biomedical data. We are seeking two highly motivated scientists with expertise in Causal Inference / Statistics / Deep Learning / Bioinformatics
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
guides while collaborating across MIT to support music technology instruction, research, learning, and meaningful access to physical and digital media collections. The full job description is available
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University seeks two full-time, visiting faculty members qualified to teach undergraduate finance courses. The appointment will start in January 2027 and last for one semester (January 2027 - May 2027
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diverse entities, including research institutes (RIs), institutions of higher learning (IHLs), and industries. The scope of these initiatives spans the entire Technology Readiness Level (TRL) spectrum, from