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Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical
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Oxford Physics, Materials and Chemistry and Liverpool Chemistry brings together expertise in photovoltaic (PV) materials synthesis and device fabrication, advanced characterisation and materials modelling
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perform advanced synchrotron experiments to probe structural, chemical, and dynamic evolution of defects in thin films and heterostructures. Utilize techniques such as Bragg coherent diffraction imaging
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. The candidate is expected to: Advance cutting-edge knowledge on the electronic structure of spin-crossover systems with higher nuclearity Adquire advance knowledge in coordination chemistry Develop strong
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photosynthetic membranes. Specifically, pump-probe ultrafast nanoscopy of transport in model OPVs and light-harvesting complexes. Specifically, advance structured excitation methods for low light level exciton
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across time and contexts. Job Description: You will develop and apply mathematical models and machine learning algorithms to analyze the structure and evolution of knowledge systems across different
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. Our research integrates clinical, neuroimaging, physiological, and immunological data to advance mechanistic models of severe mental illness. Relevant links: https://tmu.pure.elsevier.com/en/persons
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value and student learning experience is crucial. Preference will be given to those with experience in qualitative analysis and advanced statistics such as Structural Equation Modelling, Multilevel
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the command line. Background in structural biology, molecular modeling, protein dynamics, and understanding of ensembles. Have experience with large-scale computations on compute clusters, bonus points
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by the CNRS, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical