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of laminar/neuropixel probes and electrical microstimulation to study attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH
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production for lithium-ion batteries, ii) understanding and controlling interfaces for lithium-metal batteries, and iii) synthesis and characterization of catalysts for plasma-assisted catalysis. Research
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation
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on nuclear arms control, disarmament, nonproliferation, verification, and on the global security challenges associated with emerging technologies such as artificial intelligence, quantum technologies, and
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attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O. Conte Center on the "Cognitive Thalamus". The successful
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mechanical and aerospace engineering, including but not limited to the fields of: Bioengineering Combustion and Energy Science Computational Science and Engineering Dynamics and Controls Systems Energy and
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values in collective behaviors (e.g., in online social networks). The proposed research is expected to yield both theoretical and empirical publications. The candidate will be appointed in the Department
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. Preferred qualifications include experience in reinforcement learning, neural networks, and/or statistics. Questions can be addressed to Professor Nathaniel Daw, ndaw@princeton.edu. Review of applications
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with expertise in plasma and plasma-surface interactions, surface science, and quantum metrology. The overall goal of the project is to develop the ability to controllably engineer diamond surfaces
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renewable energy, sustainable manufacturing, and human health. Our group specializes in dynamical and spatial control of engineered metabolisms using techniques such as optogenetics, subcellular engineering