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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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Details Title Postdoctoral AI Researcher in AI/ML for Foundation Models, Scientific Applications, and AI Systems School Faculty of Arts and Sciences Department/Area Kempner Institute at Harvard
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to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation
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-departmental and inter-institutional research initiatives, fellowship programs, research cores, and education and training programs. Spanning about 40 different programs implemented by 50+ faculty and staff
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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modern machine learning and a strong record of research accomplishment who are excited to build brain foundation models and other AI systems that advance our understanding of neural activity, brain
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of the primary objectives of the ITC is to integrate conceptual theory with computational modeling. We are, therefore, interested in candidates working in any field related to theoretical and/or numerical
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teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment
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, and multimodal modeling of protein function and cellular state. We seek candidates with strong technical preparation in modern AI/ML, a demonstrated record of scholarly achievement, and experience in
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in advanced material preparations and characterizations, and we are enthusiastic to bridge such a “gap” among different disciplines. Responsibilities: 1. Conduct research in chemistry, physics, and