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of the numerical methods behind CFD and turbulence models. Experience in analyzing CFD data and interpreting simulation results. Excellent command of written and spoken English. Experience writing scientific reports
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design. One of our group's goals is to create efficient surrogate models that reduce the computational cost of MD simulations by several orders of magnitude. Notable examples of our work in this area
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description and work tasks We are an interdisciplinary team of experimentalists, analysts and modelers, who collaborate to address important questions of malaria parasite development and transmission by
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models into Chalmers’ bridge simulators in collaboration with other researchers. You are also expected to supervise PhD and MSc students and to publish at least two peer-reviewed journal articles during
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
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of research results. The project has a particular focus on bioinformatic analyses of data from experimental models and patient data, but tasks may be broadened depending on the project's needs. The postdoc is
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(“first hit”). Her team uses human pluripotent stem cells to model the early stages of the disease. As a postdoctoral researcher in the lab, you will be a key member of an interactive research team with
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focusing on: Quantum mechanical calculations using density functional theory. Mean-field modeling and Monte Carlo simulations for reaction kinetics. Theoretical spectroscopy By combining quantum mechanical
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ability. Additional requirements Very good oral and written proficiency in English. Documented research in advanced process engineering and applied computing technology, e.g. modeling, simulation
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) methods to tackle challenging molecular engineering problems in life sciences and materials design. Situated in the Data Science and AI division, our group advances generative models, molecular simulations