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simulations will reveal gaps in property predictions by Random Graph modeling and means to improve upon Random Graphs. You will develop and apply computational models (Monte Carlo and Molecular Dynamics) as
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on the experimental results. And vice-versa, to inform new experiments based on your simulations. To study the dynamical properties of the sub-cellular model, e.g. its stable states, or bistability, and hysteresis
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background in statistical physics; Previous experience in Soft Active Matter Physics; Demonstrated experience with programming such as Python, C or C++ and molecular simulation software (LAMMPS, Hoomd-blue
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of Ralli, Williams and Coveney [5]. This is wrapped in a setting that allows for molecular dynamics or Monte Carlo sampling of temporal and/or spatial fluctuations to account for thermal fluctuations and
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of the Molecular & Cellular Epigenetics group is to understand the influence of dynamics and cell-to-cell variability of epigenetic regulation particularly in the context of cell decision making and responsiveness
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dynamics simulations is required. High-calibre candidates with experience in both fronts are preferred; Motivated to closely collaborate with experimentalists, and possibly perform experiments.Experience
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Resilient (XR), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop ‘smart breeding and cultivation’ methods to speed up