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noise and sensor uncertainties. Applied Artificial Intelligence and Data AnalysisProficiency in multivariate analysis techniques (PCA, regression, clustering) and predictive risk models; Experience with
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models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify biofouling impacts on flow-induced vibration phenomena, structural
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research by managing imaging data processes, supporting image analysis preparation, and ensuring research-ready datasets for ongoing and future studies. Essential Functions Coordinate imaging workflow
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mammalian or microbial systems, preferred. Familiarity with computational analysis or coding (e.g., R, Python), preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing
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environmental conditions. The activities you will be responsible for combine numerical modelling with the analysis of field data from both structural measurements (e.g. vibration, displacement and strain data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
quantitative data analysis. Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Applicants must apply online at https
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analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
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independent analysis, interpretation and administration of numerous and intricate regulations, policies, and operations of Chemistry; oversee retention and various operations for enrolled graduate students
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divisions and users. Our core tasks include mechanical design, feasibility studies, finite element analysis (mechanical, thermal, and vibrational/modal), and contributing to design review meetings with
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Nanophononics is a promising field with great potential for controlling sound and heat at the nanometer scale. Over the past thirty years, intensive research on the vibrational properties of semiconductor