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the pathogenic mechanisms of amyotrophic lateral sclerosis (ALS)/frontotemporal dementia (FTD) using in vitro & in vivo (mouse and fly) models. We develop stem cell-based models for these neurodegenerative
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
-supervision by Dr Mark Hardy. The industry aligned EPSRC DigitalMetal CDT offers a four year training programme on integrating data driven with physics-based models of products equipping students with
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modelling of NCLs within industry employs System Codes, which rely heavily on empirical and scale-dependent correlations obtained via experimentation. Unsteady Reynolds-averaged Navier-Stokes (URANS
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understanding of the flow features and behaviours which develop within NCLs and provide highly valuable validation data for the development of effective and efficient simulation tools. The student will be
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models to simulate mobility scenarios, assess policy interventions, and guide sustainable transport strategies. Redesigning Urban mobility in 15 minutes context – Designing a systems approach and AI
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postdoctoral fellow interested in gaining trainingand experience in disease modelling and translational science. The successful candidatewill lead collaborative efforts among basic and clinical researchers and
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optimization and simulation models. Skills in a major programming language such as Python A collaborative team player with a desire to make a personal impact within our interdisciplinary research group and our
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Research or a related field Strong knowledge of quantitative and/or computational research methods, ideally in numerical optimization and simulation models. Proficiency in one of the major programming
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@rmit.edu.au Please send your CV to akram.hourani@rmit.edu.au Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization, or multi-agent