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. • Overseeing graduate and undergraduate students in the specimen fabrication, testing, and analysis of various asphalt mixture tests, including I-FIT, IDEAL-CT, SCB, BBR, HWT, dynamic modulus, and cyclic fatigue
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human challenge model: NIH R21 and American Lung Association-funded project that is performing a multi-omic analysis using previously collected samples •Microbial ecology in the human upper respiratory
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-testing programs that support soil conservation and applied nutrient management research and extension programs. Specific responsibilities will include research data organization and statistical analysis
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, gel electrophoresis, and immunoblotting. Prepare samples for transcriptomic, proteomic, metabolomic, and microbiome analysis. Prepare bioinformatic analysis of omic data, including RNAseq, proteomic
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ecology and management research, expertise in long-term ecological data analytics and modeling, and proficiency in statistical analysis are encouraged to apply. Preference will be given to candidates with
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data collection and analysis. Qualifications: Minimum Qualifications: PhD in Soil and Plant Nutrition, Plant Pathology or a related field. Strong background in data cleaning and processing from field
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analytical methods to quantify engineered tissue function. A strong background in cell culture and quantitative analysis of cellular metabolism is required, with a preference for candidates with previous
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analysis software, proposal writing, and technical publishing Knowledge of power electronic circuit theory such as buck, buck-boost, boost, H-bridge, and multi-level converters Knowledge of basic PWM control
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detailed research methodologies, data collection plans, and analysis frameworks to ensure high-quality, rigorous research. 2. Data Collection, Analysis, and Interpretation: o Conduct quantitative and
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integrity while adhering to ethical research standards. 2. Data Analysis and Interpretation: o Conduct complex statistical and qualitative analyses on behavioral health and crisis intervention data. o Utilize