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Field
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Technology Environmental Modeling and Decision Support Systems Development, Advanced GeoAI Coding for Algorithm development Scholastic document writing Working towards BS degree in Engineering/Geospatial
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want The postdoctoral research associate will be working on developing machine learning/artificial intelligence algorithms for various applications, including energy systems, health systems, and marine
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learning algorithms to identify growth factors and exosome numbers that correlate positively or negatively with clinical response. Data will be analyzed and presented at meetings and conferences. Strategies
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hardware matters. Uses skills as an advanced, specialized bioinformatics programming professional with an in-depth understanding of computational algorithms and systems to identify and resolve a wide range
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with graduate students, postdocs, and senior researchers. They will be well integrated into the lab's research and be expected to understand the methods and algorithms in use by or being developed by
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evaluation of cyber-physical system security solutions for distribution power grid with renewable energy sources Development of simulation models and integration of CPS security algorithms into hardware-in
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data, metabolomics and/or proteomics. Develops robust pipelines for data annotation, analysis, and quality control. Creates analytical algorithms and tools to address scientific questions with big data
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Abrahao (NYU Shanghai) and João Sedoc (NYU Stern). Research Focus Areas Our research encompasses topics in DL and AI, including but not limited to: Deep Learning Algorithms and Paradigms Generative Models
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on algorithms, data structures, and programming languages like Python.) Working knowledge of generative AI techniques, such as GANs and VAEs is a plus. A minimum of two (2) years of full-time professional
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design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to provide inferential tools. The successful applicant will be expected to develop