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Field
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to open-source libraries and publications in relevant journals or conferences are highly valued. Experience participating in multiple software development projects simultaneously, ensuring timely delivery
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input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of
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algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit strategic objectives, business processes, and initiatives that drive or increase organizational value
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other constituencies. Develop and maintain supporting documentation of measurement methods and algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit
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control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
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both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilize computational approaches to generate
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combination of statistical, quantitative and qualitative methods. Extracts, manipulates, and interprets data using statistical software (E.g., SPSS, R) and SQL-based query applications (e.g., Cognos) Develops
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years of related experience. Experience using Python for algorithm development, data science, and/or machine learning. Experience using JavaScript for front-end web development and visual data analysis
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. Experience using Python for algorithm development, data science, and/or machine learning. Experience using JavaScript for front-end web development and visual data analysis. Familiar with the software
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science topics, including practical software development skills. Expertise in teaching mathematical subjects related to computer science such as discrete structures, analysis of algorithms, artificial intelligence