Sort by
Refine Your Search
-
skills such as structural equation modeling, multilevel modeling, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS. Preferred
-
health and well-being, cognitive aging and dementia, loneliness and social isolation, and integrative data analysis. Strong analytic skills such as structural equation modeling, multilevel modeling
-
proportional hazard models, repeated measures analyses, and hierarchical analytic methods required.). Excellent quantitative, technical, analytic, and applied research skills are required. Excellent written and
-
utilize computational techniques, including modeling, simulations, and machine learning, to analyze the collected data. They will also be expected to synthesize findings into high-impact publications in top
-
crop protection, disease modeling, landscape ecology, pest management, chemical ecology as well as working closely with growers and other stakeholders, including conducting on farm research. Preferred
-
estimating equations, Cox proportional hazard models, repeated measures analyses, and hierarchical analytic methods required.) 3. Excellent quantitative, technical, analytic, and applied research
-
, but not limited to: Energy systems decarbonization Smart energy systems Climate mitigation strategies Life cycle analysis/optimization of energy systems Integrated assessment models of energy systems
-
, characterization, and modeling of metamaterial fibers and textiles. Develop and optimize fabrication processes for fibers and textiles. Conduct optical characterization of the developed materials and analyze
-
operational and/or planning models (capacity expansion, resource adequacy, operational reliability) is highly valued Supervision Exercised Provide oversight and mentorship to undergraduate and graduate students