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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
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statistical analysis and computer programming in any of the following areas are highly valued: structural equation modeling, mixed effects modeling, mediation analysis, spatial modeling, web-based mapping
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. recombinant expression and purification of proteins, crosslinking/mass spectrometry, fluorescence microscopy, CRISPR-mediated gene editing, protein structure prediction, structural modelling, transmission
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Subject description The Center for Molecular Protein Science (CMPS), Department of Chemistry brings together scientists active within the fields of biochemistry, molecular biophysics, structural
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of originality, and academic output. Experience in one or more of the following: Computational models of cognition. Advanced statistical analyses of behavioural data; Designing and conducting psychological
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Texas is a leader in developing science- and data-informed tools for advancing disaster resilience and supporting public policy across the state. Through efforts such as the Texas Disaster Information
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-specific findings into conservation and ecosystem restoration to advance outcome success. We test our research questions with multi-factorial, field experiments and complement that approach with modeling
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courses and educational programs in forestry and wood technology at both undergraduate and advanced levels. Subject area for the position: Postdoc fellowship in forest products Location until further notice
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advance the use of mathematical and statistical models of infectious disease transmission as tools for anticipating and addressing socioeconomic and geographic inequalities in infectious disease morbidity
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not limited to are impact of technology on traffic safety and operations. Experience in operation research and advanced statistical modeling will be preferred. Outstanding candidates with expertise in