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matter dynamics. Background Fauna is highly abundant in soils worldwide, but their potential in regulating carbon in soil and helping mitigate climate change remains unknown, which hampers effective and
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will be part of a dynamic research team applying advanced geophysical methods to study soil–plant interactions. Your main responsibilities will include: Developing and applying high-resolution time-lapse
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this project, we will focus on increasing the computational efficiency of interacting particle methods for Bayesian inversion when including model error in a multilevel hierarchy. As model problem, we will
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regions (UL-CDRs) represent a unique structural class with exceptional potential for targeting otherwise inaccessible epitopes. These UL-CDRs feature a distinctive architecture comprising a β-ribbon stalk
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to the studies of protein dynamics. In this project, we seek to understand the structure and dynamics of protein molecules in concentrated solutions. The candidate will use Small-Angle X-ray Scattering (SAXS), X
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) About the Project Unravelling the outcomes of cell–cell interactions is fundamental to understanding biological processes. The ability to visualise and track these interactions in vivo greatly enhances
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allowed computational fluid dynamics (CFD) to flourish, becoming an indispensable for many industries. Simulating the full Navier-Stokes equations is computationally prohibitive for most applications, so
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to reduce soil erosion. develop a pan-European dynamic soil erosion monitoring system to assess soil erosion status and trends across spatial and temporal scales and promote best management practices
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We are looking for a talented and enthusiastic candidate for a fully funded 4-year PhD position. The PhD candidate for this project will be working at the RNA Structural Ensemble Dynamics group led
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PhD studentship in Operator Algebras – C*-algebras, groups, and topological dynamics. Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate