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] Subject Area: Stochastic Analysis Salary Range: $58,656 Appl Deadline: 2026/01/09 11:59PM (posted 2025/12/05, listed until 2026/06/05) Position Description: Apply Position Description The Department
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science research, including electron beam-based microstructural analysis and semi-quantitative chemical techniques, as well as e-beam, X-ray, neutron, and photon-based surface probe methods, (e.g., EBSD
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experience with characterization methods and analytical treatments that are commonly used in metallurgical and materials science research, including electron beam-based microstructural analysis and semi
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probability theory and stochastic processes with emphasis on stochastic analysis, aligning with the research interests of Prof. David Herzog. The position has a 2-1 teaching load and a requirement to be
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: Demonstrated expertise with the design and evaluation of polymer composites, particularly regarding highly filled carbon nanotube and metal-organic framework materials. Department/Program & College Description
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OSHA procedures. • Knowledge of or ability to learn techniques of pipefitting. • Skill in the cutting and fabrication of metal components. • Knowledge of or ability to learn techniques of basic carpentry
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acquisition and analysis. Required Minimum Qualifications: PhD Preferred Qualifications: Experience in neuronscience (neurodegeneration). Proven track record and publications. Degree related to the medical
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biomolecular solution NMR experiment design, pulse sequence implementation, and data analysis, as evidenced by peer-reviewed publications. Strong computational skills for NMR data processing and analysis (e.g
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the High Obesity Program, Contribute to data collection, analysis, and dissemination of findings to inform public health practice and policy. Design and implement evaluation strategies for nutrition
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available in Engineering of Microbial Systems as part of the microbial component of the NSF-funded Understanding the Rules of Life project, “Using the Rules of Antibiotic Resistance Development to Inform