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Field
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. PREFERRED QUALIFICATIONS Strong understanding of the mathematics of neural networks, large deviations theory, and measure theory. Prior significant contributions to advanced machine-learning or deep-learning
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that integrate simulation, machine learning, and data analysis. Numerical optimization methods (e.g. machine learning including deep neural networks, reinforcement learning, data mining, genetic algorithms
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—an essential characteristic for replicating neural network behavior. The position offers a unique opportunity to engage in cutting-edge research at the intersection of quantum materials and advanced electron
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will train a physics-informed neural network (PINN) for fast, precise predictions of pressure, density, and velocity fields. The project also includes producing feed spacer prototypes through 3D printing
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. At single cell level, how does the same genome give rise to thousands of different cellular phenotypes in the brain? 2. At the tissue level, how do gene networks orchestrate intercellular communication
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. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and
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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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, Psychiatry/Neurology, or a related field. Required Qualifications: Experience with neuroimaging and/or electrophysiological data analyses, e.g., in fMRI, (i)EEG, brain lesion, and/or neural network
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the direction and supervision of Prof. Lucila Ohno-Machado, we seek to appoint full-time Postdoctoral Associates (two positions) in the areas of privacy-preserving health data sharing, artificial neural network
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computer science knowledge. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel AI/ML algorithms and models. Knowledge about hardware architectures, compilers, neural network