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conferences; Organize, and assist technical workshops, networking events and conferences (local and overseas). Job Requirements Candidate must have a PhD degree in Mechanical Engineering, Fluid Dynamics
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(PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. Place of work is the Department of Mathematics, Blindern
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characterisation and heat-transfer measurements, and development of model-predictive control algorithms for dynamic charge–discharge operation. The postholder will support prototype fabrication, instrumentation
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and implement computational fluid dynamics (CFD) and fire dynamics models in OpenFOAM tool for battery thermal runaway and fire propagation. • Conduct numerical simulations to investigate
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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
to better understanding of the geological heterogeneity of reservoir, seal and overburden rocks that may impact seal integrity, fluid injectivity, storage performance, plume evolution, and pressure
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mechanisms against experimental databases on combustion and emission characteristics. Develop and apply Computational Fluid Dynamics (CFD) models to investigate intermediate reaction pathways and pollutant
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Responsibilities: The Research Fellow will be responsible for supporting research activities with key responsibilities including: Conduct fundamental combustion experiments on fluid dynamics, fuel injection, mixing
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on: Glymphatic & Lymphatic Dynamics in brain injury, sleep, and neurodegenerative diseases. Traumatic Brain Injury mechanisms, including cerebral edema and glymphatic impairment. Neuroimmunology
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applications working on industrial related projects using high performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in
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surrogates), applications to Maxwell’s equations, fluid dynamics, multiphysics systems, quantum and control problems, and autonomous systems. Candidates whose research interests intersect with one or more of