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metrology, with expertise in quantum state discrimination and parameter estimation and/or in-process metrology and conventional optical microscopy, as well as image processing and model development
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materials, notably wear, fretting, and thermo-mechanical fatigue. Experimental studies to support these modelling activities are also of great interest to the group. Visualisation of multiphase fluids with
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substantial deliverables. Ideal candidates will also have expertise in renewable energy, energy in buildings, the impact of occupants on energy use and data acquisition and analysis. Energy modelling expertise
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emplacement and volcano deformation. Experience in conducting analogue modelling, numerical modelling and coding, and science communication is desirable. Overall, you will become an integral member of the MAGMA
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fieldwork, and have a working knowledge of magma emplacement and volcano deformation. Experience in conducting analogue modelling, numerical modelling and coding, and science communication is desirable
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to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph theory, and statistics. Algorithm
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processes as droplets/condensates wet membrane compartments in cells. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial fluid flow, elastic
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, running, and analysing numerical simulations of strongly magnetised plasma turbulence with a helicity barrier, as well as the development of theories and phenomenologies that provide frameworks
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project to develop the thermal radiation modelling and theory in near field. The roles of this position include: Conduct research and develop theoretical models for thermal nanophotonics. Apply numerical
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substantial deliverables. Ideal candidates will also have expertise in renewable energy, energy in buildings, the impact of occupants on energy use and data acquisition and analysis. Energy modelling expertise