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Field
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),. Familiarity with data analytics, machine learning, digital twin knowledge, or Python programming language. Knowledge of additive manufacturing, process physics, thermodynamics, and/or metallurgy to interpret
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://news.vt.edu/articles/2023/10/eng-futuregaward.html Required Qualifications ● Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field. ● PhD must be awarded
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: Statistical programming and data analysis using R, Python, or Matlab, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows
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of packaging designs for high-value product distribution. The ideal candidate will bring strong analytical and experimental skills to address challenges in packaging dynamics, product protection, and sustainable
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for implementation, data collection, and teacher co-design activities. Please Note: This position is grant funded; future employment may be contingent upon future funding. Qualifications Required Education PhD in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
Posting Information Posting Details Department Pathology Lab Med - Research - 413804 Posting Open Date Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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when available. Duties to include: Designing and executing experiments Maintaining databases Collecting and analyzing data Assisting with writing and revising manuscripts, grant proposals, abstract
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of COVID-19 under various nonpharmaceutical interventions with defined effects to assess the identifiability of these effects using various data-analytic approaches. The fellows will join a team including
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to design and execute experiments, analyze data, write, and prepare independent grant applications and manuscripts for scientific publications, and supervise graduate students. Job Description: Key Roles and
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-property relationships governing electrical conductivity, dielectric breakdown strength, thermal transport, and mechanical performance. Characterize composite materials using advanced analytical techniques