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the project alongside the Project Co-ordinator and other colleagues. Key Responsibilities: Simulate the combustion process of a biomass combustor using a suitable modelling tool, identifying the formation
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& Method Development Design and perform high-fidelity simulations of turbulent flows over rough and porous surfaces in subsonic and supersonic regimes. Develop and implement new models for turbulence
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ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
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, MD simulation, DFT modeling) Numerical methods in mechanics of materials for fatigue If interested, please send your application materials with the subject line “Postdoc in AM” to Dr. Amir Mostafaei
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., code interpreters, simulation frameworks, databases, lab instruments) and evaluation for long-horizon tasks. Experience with RL and post-training (reward modeling, preference learning, offline/online RL
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familiarity with at least one of: DFT workflows, Wannier/TB model building, or quantum-transport simulations; willingness to become hands-on across the stack. Comfortable with Linux/HPC, job schedulers, and
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accessible observables in attoscience. The postdoctoral researcher will carry out methodological developments and advanced numerical simulations to explore these ultrafast dynamics in exotic systems. -Develop
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power converter topologies (e.g., Dual-active-bridge, LLC, and resonant converters). 2)Power converter design and optimization. 3)Multi-domain modeling simulation (e.g., electro-thermal). 4)Wide-band-gap
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nonadiabatic nuclear dynamics simulations using tensor network states (ML-MCTDH) of vibronic coupling models. Of particular interest are candidates who have a background and/or interest in one or more of the
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machine learning - Coding - Tests with simulations - Data analyses - Paper writing - Presenting results - Integration within the BioDiv team at IBENS - Availability of work