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high-order numerical finite element methods and near real-time software for computational simulations involving cardiac ablation treatments for arrhythmias. Initial appointment is for one year, position
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applications Reinforced concrete structures, fiber-reinforced polymer materials Experimental structural testing (large-scale), materials testing This is a 1-yr appointment with the possibility of reappointment
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physical parameters. This also entails participation in relevant facets of the group’s research endeavors ranging from data analysis, software development, publication preparation, grant proposal
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disabilities or their families as indicated by application materials. Two years of proficiency with software such as Excel, SPSS, SAS, or R as indicated by application materials. Contact Information
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demonstrated by application materials. Three years of proficiency with analytic software such as SPSS, Stata, SAS, or R. Previous experience working with people with disabilities including systemic barriers as
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. The successful candidate will contribute to several aspects of the experimental neutrino physics group's research program, including software development, physics data analysis, and publication of research results
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verification, the appointment will be extended to its full duration. Preferred Qualifications Expertise with software or coding is preferred, including with Python, GIS, and Jupyter notebooks, as evidenced by
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, machine learning training and/or development, software development, publication preparation, proposal preparation, editorial work, presentation of results, outreach and career development. The successful
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Class U-Unclassified Professional Staff Work Schedule Monday - Friday, 40 hours per week Conditions of Employment Limited Term Work Location Assignment On-Site Disclaimer The University of Kansas
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+ depending on experience Application Review Begins 31-Jul-2025 Anticipated Start Date 17-Aug-2025 Primary Campus University of Kansas Lawrence Campus Employee Class U-Unclassified Professional Staff Conditions