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that align with the group. A successful applicant will have demonstrated experience in one or more of the following: (i) simulation of quantum dynamics, (ii) development and implementation of novel
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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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Full time Fixed term: 36 months We are seeking to appoint three Postdoctoral Research Associates (PDRAs) to work on the project ‘Calving Law for Ice-Climate Simulations (CALIX)’ funded by
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nanostructures for photonic integration in smart vision systems. In particular, he/she will be responsible for the theoretical study and development of codes and numerical models for computer simulation and design
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background in petroleum engineering, geology, geophysics, or related fields. Knowledge of reservoir engineering (especially numerical simulation) and programming skills is preferred. The objective
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monitoring. • Develop numerical models to simulate the dynamic behavior of mooring and anchoring systems under different environmental conditions. • Analyze and optimize structural performance and predictive
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methods for multiphase flow models Integrate experimental, pilot-scale, or high-fidelity simulation data into model calibration and validation workflows Design and run numerical simulations of multiphase
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, pilot-scale, or high-fidelity simulation data into model calibration and validation workflows Design and run numerical simulations of multiphase flow systems and reactors Quantify model uncertainty and
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of Sheffield. You should have a PhD in astrophysics or geophysics and preferably numerical/theoretical/computational experience in one or more of the following fields: planet formation, star formation, fluid
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field strong analytical skills, with knowledge of fluid dynamics, aerodynamics, and numerical simulation methods basic programming skills (e.g., Python, MATLAB, or similar) and familiarity with data