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Found 3 matching student topics

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Climate cooling or warming - study into Australian cities' long term temperature records

40% of global CO2 emission is related to buildings. Temperature is often a highly correlated factor for commercial/educational/healthcare building energy use and electricity peak demand.To forecast how temperature may change in the case of "business as usual" for the coming decades, we can study major Australian cities' long term temperature records.The two research questions for this project are:how did temperature change for Australian cities over the past 30 or more years?, e.g. for all capital cities and major regional centres.if …

Study level
Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Forecasting disease spread risk based on human movement patterns

This project aims to forecast the risk of infectious disease spread, such as COVID-19 and dengue, based on human movement patterns. We'll use multiple data sources that describe people movement in order to understand individual and population level mobility patterns, and use empirical disease case data to model the effect of movement on the spread of disease.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Computer Science

Using image recognition to forecast stock price movements

This project will use images of technical stock price movements from Bloomberg to train neural network models to predict stock price changes and volatility.

Study level
Vacation research experience scheme
Faculty
Faculty of Business and Law
School
School of Economics and Finance

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