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presentations. • Conduct comprehensive literature review and analysis of existing vibration data conversion methodologies, assessing their applicability to wooden packaging systems. • Develop practical design
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interests are interdisciplinary modeling (ideally using economic production theory, more specifically Data Envelopment Analysis, system dynamics modeling/agent-based modeling, and/or Artificial Intelligence
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specialization in Data Science/Applied Econometrics and its application in applied economics and social sciences broadly defined. The position is one-year, 12-month, calendar-year appointment, with the possibility
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techniques (e.g., SEM, XPS, ICP, XRD, TEM, or similar) evidenced by data collection or analysis in publications/reports. • Knowledge of corrosion science, demonstrated by coursework, thesis/dissertation
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Forest Sector Industry: A Mixed-Methods Approach.” This interdisciplinary research initiative integrates stakeholder engagement, market analysis, and policy evaluation to develop a strategic
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publications. • Strong understanding of experimental design, data collection, and statistical analysis. • Ability to work independently and collaboratively in an interdisciplinary research environment
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to hygrothermal or moisture diffusion processes. • Experience with experimental design, data collection, and analysis. • Ability to work both independently and collaboratively in an interdisciplinary research
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Registry to advance recovery science. In addition, this position will work on secondary data analyses from clinical trials for opioid use disorder that are part of a funded project. Moreover, ARRC has
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several areas of ongoing research in the laboratory, including the isolation and genomic analysis of large DNA viruses, cultivation of diverse hosts, analysis of evolutionary relationships and genomic
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, and with a strong background in numerical analysis and scientific computing. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility