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reactor. The work combines physics-based thermal design and process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the
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Two postdoc positions in Thermofluid Design and Digital Modeling of Cooling Systems for Electroch...
process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design is both experimentally realizable and
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Postdoctoral position in biomolecular simulations of membranes and membrane proteins at SDU in Od...
and scope of the project. Qualifications Applicants should have: A strong background in statistical mechanics Good written and spoken English communication skills Experience with all-atom and/or
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computational modelling. You have experience with Machine Learning and data analysis and are motivated to apply these skills to complex materials and production systems. You are familiar with polymer materials