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: Compiling and analyzing large erosion data sets (thermochronology, cosmogenic nuclides, suspended sediment, etc.); Statistical modelling of data to analyze drivers and make local and/or global predictions
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a
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safety, longer lifetime and higher energy and power density, but key issues still limit large-scale adoption. Advanced X-ray characterization is critical to revealing degradation pathways in realistic cell
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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efforts in AI or other related topics. Applicants must have experience in the handling and organization of large data sets. Familiarity with analysis of panel or longitudinal data and working with
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) for complementary information on the catalyst surface chemistry. The ultra-high-vacuum based model catalyst preparation allows us to highlight certain aspects of the catalyst samples (e.g. nanoparticle shape, size
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potential possibility for extension. Job description You will be part of a large interdisciplinary consortium project studying the effect of pesticides and environmental toxicants on the development
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theory on expanding spacetimes, including Milne and accelerated power law spacetimes; nonlinear scattering and asymptotics near Big Bang singularities. Education and Experience Applicants must have
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, with the goal of improving the health of all Virginians. The candidate will contribute to implementing research initiatives that apply big-data analytics, data science, and community-engaged methods