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Details Title Postdoctoral Fellowships in Networking Support for Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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Details Title Onnela Lab Postdoctoral Research Fellow Position in Network Science / Causal Inference School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position
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who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. Familiarity with neural networks and/or primate
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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interdisciplinary network of researchers at Dumbarton Oaks, nationally, and internationally. The Fellow will participate fully in Dumbarton Oaks’ dynamic community of scholars and will devote 20% of the fellowship
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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build skills in digital humanities, special collections, and innovative pedagogy, while participating in a growing interdisciplinary network of researchers at Dumbarton Oaks, nationally, and
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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projects, as well as in multiagent systems, including computational game theory, security games, machine learning in multiagent settings, automated planning under uncertainty, social networks and others
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2). Vascular network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering The Disease Biophysics Group is a creative, transdisciplinary group of engineers