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A PhD position is available at SLU's Department of Forest Mycology and Plant Pathology, which provides a dynamic and international research environment with scientists conducting research on plant
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Ref no: ORU 2.1.1-02999/2025 We are looking for a professor of Biology specialising in molecular physiology for a permanent position at the School of Science and Technology. Subject area The
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eliminate early signs of cancer. To try to understand the origin of this increased efficiency in mAb–CD16 binding, we have undertaken molecular dynamics calculations. The mission of the recruited researcher
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: 10.1038/s41467-023-39181-2 Research area: Computational biophysics, drug delivery, protein design Keywords:Computer simulations, coarse-grained model, molecular dynamics, membrane fusion, fusion protein
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to submit an attested copy of their passport’s information page containing their photograph and personal details. Read about the PhD education at SLU at https://www.slu.se/en/study/programmes-courses/doctoral
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properties of phase transitions involving magnetism, elasticity, dielectricity, etc. by applying and developing computational methods such as classical and quantum Monte Carlo simulations, molecular dynamics
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study their structures and dynamics using multi-scale simulations, which include all-atom molecular dynamics (MD) simulations, coarse-grained MD simulations, quantum mechanics/molecular mechanics (QM/MM
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
measurements Basic knowledge of molecular simulation or modelling (e.g., molecular dynamics, coarse-grained modelling, or structure–property simulations) is advantageous Excellent written and oral
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performing atomistic simulations with Density Functional Theory and Molecular Dynamics. Data analysis and coarse graining in order to provide parametrisations for upper scale models (Kinetic Monte Carlo and
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of oral microbiome. Map downstream dysbiosis-related effects at molecular depth and assess links to disease. You will join a collaborative team working at the intersection of genetics, epidemiology