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Productivity Index (RPI) using observed versus potential productivity modelled with machine learning (https://doi.org/10.1016/j.ecolind.2025.113208 ), this applied geospatial ecology project will study how
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turbines. Slope Stability and Analysis: Investigating the effects of spatial variability, rainfall, and external loading on slope stability through numerical modelling, physical testing, or probabilistic
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work-life balance. At the division of Applied Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential
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training network and aims to apply mathematical modelling methods to study adrenal gland steroid biosynthesis dynamics and their spatial relationship with adrenal tumours found in Primary aldosteronism (PA
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://past2future.org ) with 24 partners. It has recently been funded by the EU horizon program. The aim of the position’s subproject here is to use latest spatially downscaled climate model results for the past (mainly
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project Socio-Spatial Situatedness of Roman Professions and its Impact on Religion in the Roman Empire: A Formal Modeling Approach (SIPROME). The SIPROME project investigates how professions and the socio
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biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods for gaining fundamental insights into healthy
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Results: Ability to assess the influence of the engine plume on the release of emissions into different atmospheric layers. Numerical model to describe the temporal and spatial dispersion behaviour
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spatial and seasonal distributions of PFAS and identification of the key processes controlling their fate (dispersion, transformation, sediment retention). Contribution to modeling PFAS transport in
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-of-the-art in vivo perturbational technologies and advanced computational modelling to solve fascinating biomedical puzzles. This interdisciplinary atmosphere has been a main catalyst for many past successes