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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
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research in PPPL-relevant AI4Science topics. The Computational Sciences Department at PPPL was formed to provide a focus for computational physics and engineering. We specialize in algorithms and applied
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://www.nature.com/articles/s42256-021-00368-1) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4). The research is computational in nature but
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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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-00368-1 ) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4 ). The research is computational in nature but involves close
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analysis, and algorithms of computational research questions at a level sufficient to converse with Princeton's world-class researchers to support the ongoing work. This will consist of independent research
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advanced proficiency in the underlying science, math, statistics, data analysis, and algorithms of computational research questions at a level sufficient to converse with Princeton’s world-class researchers
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/or energy *Strong methodological and quantitative skills, such as survey and sampling design and data analysis (in R or Python), meta-analysis and/or document/text analysis, or computational modeling
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Bioengineering, including but not limited to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields, ultrasound
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data and developing the algorithms and tools that enable the work of their team. Thus, the ideal candidate for this position must have a biological background, the ability to translate scientific