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Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate predictions Ability to work in a team Ability to communicate orally in
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opportunity to join a dynamic and inclusive research team at University College Cork (UCC), working within the large-scale national Research Ireland (formerly Science Foundation Ireland) funded CONNECT Centre
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of Medicaid, Medicare, and private insurance data and the application of social science theory and advanced statistical techniques in large data sets. Statement Posting Details Special Instructions
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undergraduate or graduate students, if appropriate. Additional Information The ideal candidate should be an independent, solution-oriented thinker with a strong background in processing very large data sets
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correlates of protection, analyse large and complex datasets, and perform other duties as assigned. The Post-doctoral Fellow will work semi-independently under the supervision and mentorship of senior academic
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of a team performing both ex-vivo and large animal in-vivo studies) of catheter-based cardiac/myocardial ablation. The clinical applications investigated will include ventricular tachycardia and
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engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big data. · At least one year of research experience in transportation
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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not limited to, QC filtering, enrichment profiling, sequence content comparison, data tracing, and graphical representation. - Large-scale in vitro production and characterization of mRNA. The most
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of publishing academic research papers is highly preferred. The appointee will work on healthcare big data related project; carry out administrative work; supervise research-support staff and work in