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at the University of Rouen Normandie is seeking a motivated PhD candidate for the CRONOSS project, which aims to revolutionize crystallization control by combining in silico simulations with experimental validation
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the mechanisms of sorption and diffusion; (iv) to establish relationships between molecular structure and adsorption properties; and finally (v) to combine experiments and simulations to predict the performance
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prediction? You will join the project “From Toy to Cloud Modelling: Leveraging Molecular Simulations to Improve Atmospheric Models of Ice Nucleation” (NERC APP25329). The project is developing physically
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for the computer simulation of electronically excited processes in molecules and materials. In the age of net-zero it is more important than ever to obtain a deep, molecular-level understanding of the working
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
://www.med.unc.edu/pharm/directory/yinglong-miao/) is looking for two highly motivated Postdoctoral fellows to work on accelerated molecular simulations and AI-driven drug discovery. Research projects in the Miao Lab
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degradation or depolymerization Experience in bioinformatics, molecular modeling, or simulations Experience in experimental protein or enzyme characterization Track record of scientific publications and
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Sehgal at the University of Pennsylvania, focuses on the genetic and molecular mechanisms underlying sleep and circadian rhythms. The lab uses a combination of model organisms, including Drosophila and
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understanding the molecular and cellular mechanisms underlying the oncogenic conversion of normal cells into AML stem cells, and how cellular and molecular heterogeneity influence the biology and treatment
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PhD fellowship in Molecular Cell Biology PhD Project in the molecular cell biology of disease-linked gene variants Department of Biology Faculty of Science University of Copenhagen The Section
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to increase usage by the community. [1] https://doi.org/10.1039/C9SM01877H [2] https://doi.org/10.1063/1.5123683 [3] https://doi.org/10.6028/jres.123.004 key words Molecular simulation; Monte Carlo