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sensitivity analysis with the CLM-hillslope module under new climate scenarios. Additional tasks include documentation and publication of data and model codes; manuscript preparation; and dissemination
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. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem models, which are essential for understanding climate change impacts. The work involves reviewing existing
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, NLRs trigger a response leading to cell death upon pathogen recognition. A recent evolutionary model proposes that NLRs have evolved from single units (singleton NLRs) able to both detect and respond
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model consisting of corneocytes and intercellular lipids Human skin is the body’s largest organ and its primary barrier against the penetration of external compounds. This protective function is largely
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
project reports. Beyond these tasks, the chosen candidates will also have an opportunity to work with other ongoing projects within IE-CEMPD in the field of emissions, air quality and climate modeling
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environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. About
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-insect community as a model for hypothesis testing in molecular evolution. The individual will use methods such as RNA-seq to identify genes and regulatory sequences that drive plant toxin detoxification
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models. Requirements: We aim to attract the best talent in the respective research fields and expect the following: an outstanding university and, if applicable, PhD degree (or equivalent) in
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Application deadline: All year round Research theme: Environmental geochemistry How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD studentship is open to EU, UK, and US applicants. The
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, Knowledge and Abilities: High level of proficiency with Excel, Qualtrics, and at least one statistical software package (SPSS, SAS, STATA, R, etc). General knowledge of various student retention models and