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-cell multi-omics approaches • Analysis of large-scale genomic and/or transcriptomic datasets • Experience with mitochondrial or innate immune/inflammation assays Overtime Status Exempt: Not eligible
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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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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
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(CFD) simulations. More information on Prof. Liselle Joseph and the PHASE research group can be found at the following link: https://www.aoe.vt.edu/people/faculty/liselle-joseph.html. This role offers
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. The successful applicant will work closely with ORI Information Technology (IT), Electronic Research Administration (ERA), and Data & Analytics teams to develop and share best practices, understand available data
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. The Postdoctoral Associate is expected to lead research projects from experimental design, data analysis, to presentations in lab meetings, conferences, and seminars, as well as prepare manuscripts for peer-reviewed
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-learning methods, knowledge-graph and ontology-based scientific data infrastructures, and agentic workflows for autonomous hypothesis generation, mechanistic exploration, and design of catalytic systems
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- Significant statistical analysis experience with multilevel and/or longitudinal data - Strong conceptual and written communication skills Preferred Qualifications - Staff and graduate student supervision
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with experts in AI and machine learning. The post-doctoral associate will also be responsible for data management and dissemination of scientific results. The successful candidate will join a