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and brain that explain vision loss, building on our previously-developed method linking clinical, neural and behavioral data (Allen et al., 2018; Miller et al., 2019; Pedersini et al., 2023). We combine
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learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and geotechnical applications Data acquisition and processing from
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learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and geotechnical applications Data acquisition and processing from
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Orientation/Gender Identity Employer UAE Nationals are encouraged to apply. For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity
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after memory is established. ? Numerical analysis of complex data sets to evaluate the neural representation of information in the physiological recordings above. ? Collaboration
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code
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materials characterization (XRD, XPS, XAS, NMR, EPR), and synthesis of functional materials is highly preferred. Applicants should submit, as one pdf, the following information: an up-to-date CV that includes
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African and Asian contexts. We seek a candidate with expertise in managing complex fieldwork on the African and Asian continents, including survey data collection and experimental research designs
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scientific work. Applicants will be promoted to upload reference contact information as part of the application process. The letter should be addressed to Dr. Haeok Lee. 5. Up to three authored reprint
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-dimensional probability, concentration and functional inequalities ? Mathematical aspects of machine learning and deep neural networks ? Free Probability aspects of Quantum Information Theory. While excellent