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issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms of computational research questions. This may involve independent research, studying
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not necessary. We welcome candidates with strong technical backgrounds who are looking for more exposure to economics. The position is structured to help individuals prepare for doctoral programs in
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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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exposure to economics. The position is structured to help individuals prepare for doctoral programs in economics by gaining valuable research experience. In addition to working closely with Center faculty
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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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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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collaboration with Professor Tanushree Goyal on research projects related to the political economy of development (for example, cultural change, as well as environmental conservation, political participation
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development (for example, cultural change, as well as environmental conservation, political participation, gender, bureaucracy etc.). The position involves a variety of tasks that provide excellent preparation
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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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develop a fast-paced AI/ML program strategically aligned with DOE and other Federal Agency goals, ensuring that the research program advances and fits within PPPL Annual Laboratory Plans (ALP) goals