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Field
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Fully Funded PhD Studentship: Micromechanics of Grain-Interface Interactions (Soil-Structure Interaction) Background Are abrasive grains truly "indestructible"? Research in our leading experimental
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the risk of missed defects. Using the power of Artificial Intelligence (AI), this research aims to: - Automate defect detection in complex 3D structural data - Enhance diagnostic accuracy and processing
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, concrete, bituminous materials, composite materials, etc.) for use in construction. Complex stresses and multi-physical couplings (thermo/hydro/chemo/hygro/electro-mechanical couplings) are taken
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Monte Carlo methods for glassy dynamics and complex materials Supervisor: Dr Michael Faulkner, University of Warwick Glasses are materials that combine macroscopic solid behaviour with amorphous liquid
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industrial SBSP experts, the candidate will explore the nonlinear structural dynamics of LSSs to fully understand the complexity of their control. They will use this foundation to explore idealised and
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mass production. For training purposes, the student will reproduce selected literature results before moving on to systems of their own design. They will design, build and characterise complex membrane
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-confidence 3D structures of GA transporters and their complexes (using AlphaFold2/AF2-multimer, AF3 Server, DMFold, DeepMSA2, amongst others) -Predict the spatial position of the GA ligand in the internal
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explore the phase behaviour of potassium and unlock new understanding of alkali metals' unique physical properties. At high pressures and temperatures, these metals reveal complex phase transitions and
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Structures Work Performed Design, modify, and perform complex structural experiments and/or use technically advanced procedures and conduct complex analysis and interpretation Troubleshoot complex equipment
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(AlphaFold 2 and 3) to determine the atomic or amino acid-scale structures of MutSa and MutSb complexes with SHIP motifs present in SLX4 and EXO1 proteins. Where to apply Website https://emploi.cnrs.fr