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on the development of continuum and discrete, stochastic mechanical models of ordered cellular structures and understanding the role of order in pattern formation. The project is in close collaboration with
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numerical techniques to study collective states in active matter. Depending on the candidate's profile and interests, the research can involve various aspects of the modeling and the optimal control of active
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, laboratory analyses and numerical modelling approaches. You will collect samples from outcrops and core repositories, perform lipid biomarker extractions and GC-based analyses to identify organic compounds and
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activity focuses on understanding the scalar sector of the Standard Model by considering both the Higgs boson and Nambu-Goldstone states. The selected candidate will be able to contribute, in particular
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environments, with applications to both the Solar System and rocky exoplanets. The successful candidate will develop theoretical and numerical models that connect the physical and chemical evolution of planetary
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models for the fire resistance of LSF walls, including the development of machine learning models, experimental testing, and numerical simulations, within the project “FireLSF – Development of Predictive
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morphodynamic numerical modeling. Field data collection and analysis of nearshore dynamics. Design and analysis of flood control infrastructure. Nature-based flood mitigation solutions. Flood risk and hazard
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physiology, animal models of cancer and cachexia, imaging, histological analyses, and other mechanistic or translational approaches. · Contribute to the development, optimization, and validation
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geothermal projects lead to significant seismic activity?’ The project combines laboratory experiments, geophysical field monitoring and numerical reservoir modelling. This postdoctoral researcher will work
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Applications are invited for a Postdoctoral Research Associate in transportation data science and statistical modelling, based in the Centre for Transport Engineering and Modelling (CTEM