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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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. 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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. 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
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
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structures for immersion boiling enhancement. In addition, we will be deploying physics informed neural network modeling to predict the electrothermal behavior or high power rf devices. Anticipated
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independent postdoctoral fellows with training and expertise in agent-based modeling, neural networks, social network analysis, machine learning, data analytics, computational economics, or computational social
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their expertise together to establish neural organoid models recapitulating aspects of neural-microglia interactions in neurodegenerative diseases at Ghent University. About the project MINDFUL: Lipid accumulation