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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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fingerprinting and forensics in multi-source watersheds. The Postdoctoral Associate will contribute to project design and lead laboratory work, data analysis and modelling in collaboration with the OWML PFAS
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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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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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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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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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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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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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. Opportunities are provided for diverse career development activities, including: • Skill Development: Acquiring new research techniques (e.g., AI/ML, data assimilation). • Networking: Establishing a strong
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are provided for diverse career development activities, including: • Skill Development: Acquiring new research techniques (e.g., AI/ML, data assimilation). • Networking: Establishing a strong professional