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-transfer module (VCTM) system to visualise the atomic distribution of hydrogen and evaluate the penetration depth solar wind hydrogen ions using atom probe tomography. This project will, provide vital data
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detection model to a more flexible unequal-variance model in a hierarchical Bayesian approach (Lages, 2024). Techniques used: Computational modelling, Bayesian inference, sampling and simulation techniques
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applied, including survival analyses and distributed lag models. Findings from this project will inform clinical risk stratification, public health preparedness, and climate adaptation strategies, helping
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, Clin Infect Dis 58: 1424–1429. https://doi.org/10.1093/cid/ciu102 Chalghaf B, Chemkhi J, Mayala B et al. (2018). Ecological niche modeling predicting the potential distribution of Leishmania vectors in