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running automated models to support analysis and decision-making. Working within an established technical environment, the Data Scientist helps improve existing models and supports the development and
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interaction events. While upstream computer vision and AI models extract this information from video, this role focuses on research, modelling, and analysis of the resulting data, rather than developing
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intelligent decision architectures, predictive analytics, and adaptive computational models that can operate in dynamic, uncertain, and high-stakes project environments. The appointee will conduct original
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Modeller to join their team. The Simulation Visual Modeller plays a key technical role within the Centre for Maritime Simulations (CMS), supporting teaching, research and commercial operations through
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programs-ranging from national infrastructure to major technological rollouts. The project focuses on developing intelligent decision architectures, predictive analytics, and adaptive computational models
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Methods of balancing model complexity with goodness of fit include Akaike's information criterion (AIC), Schwarz's Bayesian information criterion (BIC), minimum description length (MDL) and minimum
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Japan and North America, to improve an existing model for the spread of Cyvirus cyprinidallo3 (also known as Cyprinid Herpes Virus or CyHV-3) as a biocontrol agent for common carp in Australia
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focus on COVID-19) involving a number of key Australian institutions. The research will use health economic and infectious disease modelling to evaluate the impact and cost-effectiveness of population
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recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in modelling infectious disease dynamics, population
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plus 17% superannuation and leave loading Location: Kensington, NSW (Hybrid working model) About UNSW At UNSW, we pride ourselves on being a workplace where the best people come to do their best work