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or materials systems Reaction pathways and dynamics Fundamental theory in quantum chemistry and molecular simulations Chemical informatics and big data Artificial intelligence and machine learning applied
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relevant metallic glass compositions using molecular dynamics techniques. For certain compositions, this will involve fitting interatomic potentials to conduct the simulations appropriately. The researcher
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biological, environmental, molecular or materials systems Reaction pathways and dynamics Fundamental theory in quantum chemistry and molecular simulations Chemical informatics and big data Artificial
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classical molecular dynamic simulations. Next you will characterise the populations of defects produced by these events, developing statistical descriptors of the damage using both traditional approaches and
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plastic deformation occurs, and empirical data are limited. In this project, you will use classical molecular dynamics simulations to study the mechanisms by which dislocation defects (responsible
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developing this ambitious research program. The Spagnoli lab. is a highly dynamic, inclusive team, doing exciting science and member of the outstanding Centre for Gene Therapy & Regenerative Medicine at King’s
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study of complex fluids or granular matter. Furthermore, excellent communication and organizational skills are required. Experience in simulation using molecular dynamics, discrete element method and/or
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and large data analysis, computational approaches in structural biology, ligand-protein simulations including membrane protein dynamics and molecular pharmacology) Mitochondrial Biology (for example
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potential treatment to perturb tumourigenesis and metastasis. The candidate will receive training in CRISPR-mediated genetic editing, molecular analysis of cancer cells, 3-Dimensional culture techniques
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in quantum dynamics, quantum chemistry, materials chemistry, biological simulation, and soft matter modelling, as well as applicants with expertise in data-led chemistry. This post offers an exciting