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will be supervised by Dr. Ning Wang. The successful candidate will be responsible for AI-driven materials discovery. Candidates with background in molecular modeling (molecular dynamics or Monte Carlo
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advanced computational approaches to map the diversity, dynamics, and tissue distribution of viruses in the human body. We investigate how these viral communities influence disease susceptibility and
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will involve applying multiple time-dependent electronic structure and nonadiabatic dynamic methods to model the CISS effect in molecular systems. Method development, potentially in the realm of time
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Ecology. They will contribute to the life and dynamics of the team. She/he must be available to participate in field campaigns. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7263-KHEBOU
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epigenome dynamics in immune responses. By using genetic, genomic and biochemical methods, the individual will identify/analyze/characterize molecular determinants for chromatin looping in plants
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-based models as well as patient-derived xenograft models of liver cancer. This position is suitable for a highly motivated self-starter who excels in a dynamic environment offering varied learning
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Infrastructure? No Offer Description We are seeking a highly motivated and experienced postdoctoral researcher to join the Molecular Biology of Cancer group at the Instituto Universitario de Oncología del
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chemical biology and sequencing-based approaches to understand how RNA structure and dynamics regulate protein recognition. The associate will play a key role in advancing the lab’s research program by
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quantification. Find out more about the research and group here. Your Role As a postdoc on this project, you will be part of a dynamic team working at the intersection of computational biology, molecular
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proteins in lipid droplets; (2) development and maintenance of the POP_MD code for non-equilibrium molecular dynamics simulations of biological systems. The successful candidate will be responsible