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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Hiring Range Proposed Start Date 06/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public
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the partner teams and a theory/experiment dialog will allow to enrich the project. The person recruited will have the opportunity to use a large panel of theoretical chemistry and molecular modeling methods
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simulation tools are being developed to better estimate the effect of design changes on the tire performances – especially relevant at the early stages of the development of new tires. Approach Although
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and contributing to the development of next-generation genomic methods. The Staff Scientist will complete ongoing research projects involving DNA/RNA modification profiling, high-throughput sequencing
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Delphi consensus and validation methods. Building on this framework, surgical performance derived from video analysis, simulator data and telesurgical platforms will be quantified using structured metrics
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, Microsoft Outlook Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: Knowledge of principles and methods of public health practice, particularly as relates to maternal
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efficient use of time and resources. Able to exercise judgment. Knowledge of clinical or forensic testing methods and associated instrumentation. Email to a Friend https://unmc.peopleadmin.com/postings/96528
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independent judgment. Knowledge of molecular biology testing methods and associated instrumentation. Email to a Friend https://unmc.peopleadmin.com/postings/96529
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satisfaction. The role requires strong technical knowledge of construction methods and cost structures, high attention to detail, proficiency with estimating and project management software (including Trimble
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: Prior experience running behavioral experiments is desirable, as is previous collaboration or engagement with researchers in economics. Familiarity with methods from machine learning will be a plus. All