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their debiasing. This project aims to unpack the biases in models that may come from the underlying data, or biases in software (e.g. a simulation) that could be designed with a specific purpose and angle from
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. This position will focus on one key stream: understanding and improving the interaction between EVs and roadside barriers. This will involve: Modelling EV crash dynamics with conventional and SRB barriers
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results accurately and draw meaningful conclusions to inform further research and process improvements. Background in modelling and simulation using simulation software. Background in Techno-economic
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Kerryn Butler-Henderson via kerryn.butler-henderson@rmit.edu.au by 31 October 2022, with: A cover letter - outlining interest and alignment with the proposed research (see Further Information) A copy of
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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cover letter briefly outlining your interest in the project Evidence of research ability, such as a digital copy of a Masters or Honours thesis A digital copy of academic transcripts A CV including any
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PhD Scholarship in ‘Using nanoparticles to enhance the immune response and improve vaccine efficacy’
Plenbanski via magdalena.plebanski@rmit.edu.au and Dr Kirsty Wilson via kirsty.wilson2@rmit.edu.au . A copy of electronic academic transcripts A CV that includes any publications/awards and the contact
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
will be trained is some of these different skills: Micro/nanofabrication Simulation/design of optical components Integrated photonic circuits Programming skills in Python, C/C++ Theory of electromagnetic
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These models are technology platforms that facilitate drug discovery and fundamental research. Our research is funded by Australian Research Council. This project aims to develop bio-microfluidic
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April Kartikasari via magdalena.plebanski@rmit.edu.au and april.kartikasari@rmit.edu.au . A copy of electronic academic transcripts A CV that includes any publications/awards and the contact details