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interfaces to enable their exploratory and computational analysis. Conduct original data-driven historical research on newspaper and radio sources Contribute to the development of innovative computational
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Computer Science at the Nano-Optics and Advanced Health-Sensing (NOAHS) Lab by focusing on heterogeneous integration of transparent conductive oxides (TCOs) with silicon photonics, which will be primarily
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Research / Post-Doctoral Associate in the Division of Science Computer Science, Dr. Djellel Difallah
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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Description The RNA Modifications, Intellect, and NeuroDegeneration (RNA-MIND) Laboratory under the Biology Program, Division of Science, of New York University Abu Dhabi seeks to recruit a research
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Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J. Kyriakopoulos seeks to improve the autonomy of Field Robotic
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through soft, disordered materials, including auto-regulated networks, composite soft solids, and exotic photonic biomaterials. The lab has two fully funded PhD and/or postdoctoral positions available
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project