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experience coding in Python and R. Strong understanding of algorithms, data structures, and computational theory. Experience with data analysis and visualization tools to interpret simulation results. Ability
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equivalent experience (e.g. graduate school or industry experience). • Substantial experience coding in Python and R. • Strong understanding of algorithms, data structures, and computational theory
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(HPC) best practices, advanced mathematical research into novel algorithms, and the utilization of machine learning techniques for code acceleration and the development of reduced-order "surrogate
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development and application of novel algorithms and machine learning/AI techniques for extracting insights from biological data sets (genomics, proteomics, imaging, neuroscience), and related areas
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Science and Engineering, or a related area is required. The position will involve developing models and algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research
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econometric analysis and preparing results tables, managing large data sets, handling spatial data, applying machine learning algorithms, conducting computationally intensive statistical analyses, summarizing
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need. Apply AI and machine learning algorithms to software engineering projects in the researcher’s specific domain. Application of Domain Expertise Initiate and maintain open collaboration with
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media including Facebook, Twitter, Instagram, YouTube, LinkedIn, and TikTok as well as excellent understanding of algorithms and platform best practices. - Storyteller at heart with strong writing skills
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machine learning algorithms, conducting computationally intensive statistical analyses, summarizing research findings, and editing research papers. In addition to working closely with faculty, senior
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portfolio in AI4Science. The Computational Sciences Department at PPPL was formed to provide a focus for computational physics and engineering. We specialize in algorithms and applied mathematics, data